chapter2bib.bib

@book{Savarese2007,
abstract = {Cast shadows are an informative cue to the shape of objects. They are particularly valuable for discovering object's concavities which are not available from other cues such as occluding boundaries. We propose a new method for recovering shape from shadows which we call shadow carving. Given a conservative estimate of the volume occupied by an object, it is possible to identify and carve away regions of this volume that are inconsistent with the observed pattern of shadows. We prove a theorem that guarantees that when these regions are carved away from the shape, the shape still remains conservative. Shadow carving overcomes limitations of previous studies on shape from shadows because it is robust with respect to errors in shadows detection and it allows the reconstruction of objects in the round, rather than just bas-reliefs. We propose a reconstruction system to recover shape from silhouettes and shadow carving. The silhouettes are used to reconstruct the initial conservative estimate of the object's shape and shadow carving is used to carve out the concavities. We have simulated our reconstruction system with a commercial rendering package to explore the design parameters and assess the accuracy of the reconstruction. We have also implemented our reconstruction scheme in a table-top system and present the results of scanning of several objects. {\textcopyright} Springer Science + Business Media, LLC 2006.},
author = {Savarese, Silvio and Andreetto, Marco and Rushmeier, Holly and Bernardini, Fausto and Perona, Pietro},
booktitle = {International Journal of Computer Vision},
doi = {10.1007/s11263-006-8323-9},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Savarese et al/International Journal of Computer Vision/shadow.pdf:pdf},
isbn = {1126300683},
issn = {09205691},
keywords = {3D reconstruction,Computer Vision,Shape from contours,Shape from shadows,Shape from silhouettes,Shape recovery},
number = {3},
pages = {305--336},
title = {{3D reconstruction by shadow carving: Theory and practical evaluation}},
volume = {71},
year = {2007}
}
@inproceedings{Majji2020,
abstract = {Various image feature extraction methods are compared for terrain relative navigation applications. Qualitative and quantitative performance measures to evaluate the utility of the relevant feature identification methods are discussed to form a basis for this comparison process. A medium-fidelity terrain relative navigation emulation test-bed called Navigation, Estimation and Tracking (NEST) test-bed is utilized to generate terrain and range measurements to facilitate the evaluation process.},
address = {Orlando, Fl},
author = {Majji, Manoranjan and Simon, Andrew B. and Restrepo, Carolina I. and Lovelace, Ronney},
booktitle = {AIAA Scitech 2020 Forum},
doi = {10.2514/6.2020-0601},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Majji et al/AIAA Scitech 2020 Forum/Majji et al. - 2020 - A comparison of feature extraction methods for terrain relative navigation.pdf:pdf},
isbn = {9781624105951},
number = {January},
pages = {1--12},
title = {{A comparison of feature extraction methods for terrain relative navigation}},
year = {2020}
}
@article{Lauretta2019,
abstract = {NASA'S Origins, Spectral Interpretation, Resource Identification and Security-Regolith Explorer (OSIRIS-REx) spacecraft recently arrived at the near-Earth asteroid (101955) Bennu, a primitive body that represents the objects that may have brought prebiotic molecules and volatiles such as water to Earth1. Bennu is a low-albedo B-type asteroid2 that has been linked to organic-rich hydrated carbonaceous chondrites3. Such meteorites are altered by ejection from their parent body and contaminated by atmospheric entry and terrestrial microbes. Therefore, the primary mission objective is to return a sample of Bennu to Earth that is pristine—that is, not affected by these processes4. The OSIRIS-REx spacecraft carries a sophisticated suite of instruments to characterize Bennu's global properties, support the selection of a sampling site and document that site at a sub-centimetre scale5–11. Here we consider early OSIRIS-REx observations of Bennu to understand how the asteroid's properties compare to pre-encounter expectations and to assess the prospects for sample return. The bulk composition of Bennu appears to be hydrated and volatile-rich, as expected. However, in contrast to pre-encounter modelling of Bennu's thermal inertia12 and radar polarization ratios13—which indicated a generally smooth surface covered by centimetre-scale particles—resolved imaging reveals an unexpected surficial diversity. The albedo, texture, particle size and roughness are beyond the spacecraft design specifications. On the basis of our pre-encounter knowledge, we developed a sampling strategy to target 50-metre-diameter patches of loose regolith with grain sizes smaller than two centimetres4. We observe only a small number of apparently hazard-free regions, of the order of 5 to 20 metres in extent, the sampling of which poses a substantial challenge to mission success.},
author = {Lauretta, D. S. and DellaGiustina, D. N. and Bennett, C. A. and Golish, D. R. and Becker, K. J. and Balram-Knutson, S. S. and Barnouin, O. S. and Becker, T. L. and Bottke, W. F. and Boynton, W. V. and Campins, H. and Clark, B. E. and Connolly, H. C. and Drouet d'Aubigny, C. Y. and Dworkin, J. P. and Emery, J. P. and Enos, H. L. and Hamilton, V. E. and Hergenrother, C. W. and Howell, E. S. and Izawa, M. R.M. and Kaplan, H. H. and Nolan, M. C. and Rizk, B. and Roper, H. L. and Scheeres, D. J. and Smith, P. H. and Walsh, K. J. and Wolner, C. W.V. and Highsmith, D. E. and Small, J. and Vokrouhlick{\'{y}}, D. and Bowles, N. E. and Brown, E. and {Donaldson Hanna}, K. L. and Warren, T. and Brunet, C. and Chicoine, R. A. and Desjardins, S. and Gaudreau, D. and Haltigin, T. and Millington-Veloza, S. and Rubi, A. and Aponte, J. and Gorius, N. and Lunsford, A. and Allen, B. and Grindlay, J. and Guevel, D. and Hoak, D. and Hong, J. and Schrader, D. L. and Bayron, J. and Golubov, O. and S{\'{a}}nchez, P. and Stromberg, J. and Hirabayashi, M. and Hartzell, C. M. and Oliver, S. and Rascon, M. and Harch, A. and Joseph, J. and Squyres, S. and Richardson, D. and McGraw, L. and Ghent, R. and Binzel, R. P. and Asad, M. M.Al and Johnson, C. L. and Philpott, L. and Susorney, H. C.M. and Cloutis, E. A. and Hanna, R. D. and Ciceri, F. and Hildebrand, A. R. and Ibrahim, E. M. and Breitenfeld, L. and Glotch, T. and Rogers, A. D. and Ferrone, S. and Thomas, C. A. and Fernandez, Y. and Chang, W. and Cheuvront, A. and Trang, D. and Tachibana, S. and Yurimoto, H. and Brucato, J. R. and Poggiali, G. and Pajola, M. and Dotto, E. and Epifani, E. Mazzotta and Crombie, M. K. and Lantz, C. and de Leon, J. and Licandro, J. and Garcia, J. L.Rizos and Clemett, S. and Thomas-Keprta, K. and Van wal, S. and Yoshikawa, M. and Bellerose, J. and Bhaskaran, S. and Boyles, C. and Chesley, S. R. and Elder, C. M. and Farnocchia, D. and Harbison, A. and Kennedy, B. and Knight, A. and Martinez-Vlasoff, N. and Mastrodemos, N. and McElrath, T. and Owen, W. and Park, R. and Rush, B. and Swanson, L. and Takahashi, Y. and Velez, D. and Yetter, K. and Thayer, C. and Adam, C. and Antreasian, P. and Bauman, J. and Bryan, C. and Carcich, B. and Corvin, M. and Geeraert, J. and Hoffman, J. and Leonard, J. M. and Lessac-Chenen, E. and Levine, A. and McAdams, J. and McCarthy, L. and Nelson, D. and Page, B. and Pelgrift, J. and Sahr, E. and Stakkestad, K. and Stanbridge, D. and Wibben, D. and Williams, B. and Williams, K. and Wolff, P. and Hayne, P. and Kubitschek, D. and Barucci, M. A. and Deshapriya, J. D.P. and Fornasier, S. and Fulchignoni, M. and Hasselmann, P. and Merlin, F. and Praet, A. and Bierhaus, E. B. and Billett, O. and Boggs, A. and Buck, B. and Carlson-Kelly, S. and Cerna, J. and Chaffin, K. and Church, E. and Coltrin, M. and Daly, J. and Deguzman, A. and Dubisher, R. and Eckart, D. and Ellis, D. and Falkenstern, P. and Fisher, A. and Fisher, M. E. and Fleming, P. and Fortney, K. and Francis, S. and Freund, S. and Gonzales, S. and Haas, P. and Hasten, A. and Hauf, D. and Hilbert, A. and Howell, D. and Jaen, F. and Jayakody, N. and Jenkins, M. and Johnson, K. and Lefevre, M. and Ma, H. and Mario, C. and Martin, K. and May, C. and McGee, M. and Miller, B. and Miller, C. and Miller, G. and Mirfakhrai, A. and Muhle, E. and Norman, C. and Olds, R. and Parish, C. and Ryle, M. and Schmitzer, M. and Sherman, P. and Skeen, M. and Susak, M. and Sutter, B. and Tran, Q. and Welch, C. and Witherspoon, R. and Wood, J. and Zareski, J. and Arvizu-Jakubicki, M. and Asphaug, E. and Audi, E. and Ballouz, R. L. and Bandrowski, R. and Bendall, S. and Bloomenthal, H. and Blum, D. and Brodbeck, J. and Burke, K. N. and Chojnacki, M. and Colpo, A. and Contreras, J. and Cutts, J. and Dean, D. and Diallo, B. and Drinnon, D. and Drozd, K. and Enos, R. and Fellows, C. and Ferro, T. and Fisher, M. R. and Fitzgibbon, G. and Fitzgibbon, M. and Forelli, J. and Forrester, T. and Galinsky, I. and Garcia, R. and Gardner, A. and Habib, N. and Hamara, D. and Hammond, D. and Hanley, K. and Harshman, K. and Herzog, K. and Hill, D. and Hoekenga, C. and Hooven, S. and Huettner, E. and Janakus, A. and Jones, J. and Kareta, T. R. and Kidd, J. and Kingsbury, K. and Koelbel, L. and Kreiner, J. and Lambert, D. and Lewin, C. and Lovelace, B. and Loveridge, M. and Lujan, M. and Maleszewski, C. K. and Malhotra, R. and Marchese, K. and McDonough, E. and Mogk, N. and Morrison, V. and Morton, E. and Munoz, R. and Nelson, J. and Padilla, J. and Pennington, R. and Polit, A. and Ramos, N. and Reddy, V. and Riehl, M. and Salazar, S. and Schwartz, S. R. and Selznick, S. and Shultz, N. and Stewart, S. and Sutton, S. and Swindle, T. and Tang, Y. H. and Westermann, M. and Worden, D. and Zega, T. and Zeszut, Z. and Bjurstrom, A. and Bloomquist, L. and Dickinson, C. and Keates, E. and Liang, J. and Nifo, V. and Taylor, A. and Teti, F. and Caplinger, M. and Bowles, H. and Carter, S. and Dickenshied, S. and Doerres, D. and Fisher, T. and Hagee, W. and Hill, J. and Miner, M. and Noss, D. and Piacentine, N. and Smith, M. and Toland, A. and Wren, P. and Bernacki, M. and Munoz, D. Pino and Watanabe, S. I. and Sandford, S. A. and Aqueche, A. and Ashman, B. and Barker, M. and Bartels, A. and Berry, K. and Bos, B. and Burns, R. and Calloway, A. and Carpenter, R. and Castro, N. and Cosentino, R. and Donaldson, J. and Cook, J. Elsila and Emr, C. and Everett, D. and Fennell, D. and Fleshman, K. and Folta, D. and Gallagher, D. and Garvin, J. and Getzandanner, K. and Glavin, D. and Hull, S. and Hyde, K. and Ido, H. and Ingegneri, A. and Jones, N. and Kaotira, P. and Lim, L. F. and Liounis, A. and Lorentson, C. and Lorenz, D. and Lyzhoft, J. and Mazarico, E. M. and Mink, R. and Moore, W. and Moreau, M. and Mullen, S. and Nagy, J. and Neumann, G. and Nuth, J. and Poland, D. and Reuter, D. C. and Rhoads, L. and Rieger, S. and Rowlands, D. and Sallitt, D. and Scroggins, A. and Shaw, G. and Simon, A. A. and Swenson, J. and Vasudeva, P. and Wasser, M. and Zellar, R. and Grossman, J. and Johnston, G. and Morris, M. and Wendel, J. and Burton, A. and Keller, L. P. and McNamara, L. and Messenger, S. and Nakamura-Messenger, K. and Nguyen, A. and Righter, K. and Queen, E. and Bellamy, K. and Dill, K. and Gardner, S. and Giuntini, M. and Key, B. and Kissell, J. and Patterson, D. and Vaughan, D. and Wright, B. and Gaskell, R. W. and {Le Corre}, L. and Li, J. Y. and Molaro, J. L. and Palmer, E. E. and Siegler, M. A. and Tricarico, P. and Weirich, J. R. and Zou, X. D. and Ireland, T. and Tait, K. and Bland, P. and Anwar, S. and Bojorquez-Murphy, N. and Christensen, P. R. and Haberle, C. W. and Mehall, G. and Rios, K. and Franchi, I. and Rozitis, B. and Beddingfield, C. B. and Marshall, J. and Brack, D. N. and French, A. S. and McMahon, J. W. and Jawin, E. R. and McCoy, T. J. and Russell, S. and Killgore, M. and Bandfield, J. L. and Clark, B. C. and Chodas, M. and Lambert, M. and Masterson, R. A. and Daly, M. G. and Freemantle, J. and Seabrook, J. A. and Craft, K. and Daly, R. T. and Ernst, C. and Espiritu, R. C. and Holdridge, M. and Jones, M. and Nair, A. H. and Nguyen, L. and Peachey, J. and Perry, M. E. and Plescia, J. and Roberts, J. H. and Steele, R. and Turner, R. and Backer, J. and Edmundson, K. and Mapel, J. and Milazzo, M. and Sides, S. and Manzoni, C. and May, B. and Delbo', M. and Libourel, G. and Michel, P. and Ryan, A. and Thuillet, F. and Marty, B.},
doi = {10.1038/s41586-019-1033-6},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Lauretta et al/Nature/Lauretta et al. - 2019 - The unexpected surface of asteroid (101955) Bennu.pdf:pdf},
issn = {14764687},
journal = {Nature},
keywords = {boulders},
mendeley-tags = {boulders},
number = {7750},
pages = {55--60},
pmid = {30890786},
title = {{The unexpected surface of asteroid (101955) Bennu}},
volume = {568},
year = {2019}
}
@article{Barnouin2019,
abstract = {The shapes of asteroids reflect interplay between their interior properties and the processes responsible for their formation and evolution as they journey through the Solar System. Prior to the OSIRIS-REx (Origins, Spectral Interpretation, Resource Identification, and Security–Regolith Explorer) mission, Earth-based radar imaging gave an overview of (101955) Bennu's shape. Here we construct a high-resolution shape model from OSIRIS-REx images. We find that Bennu's top-like shape, considerable macroporosity and prominent surface boulders suggest that it is a rubble pile. High-standing, north–south ridges that extend from pole to pole, many long grooves and surface mass wasting indicate some low levels of internal friction and/or cohesion. Our shape model indicates that, similar to other top-shaped asteroids, Bennu formed by reaccumulation and underwent past periods of fast spin, which led to its current shape. Today, Bennu might follow a different evolutionary pathway, with an interior stiffness that permits surface cracking and mass wasting.},
author = {Barnouin, O. S. and Daly, M. G. and Palmer, E. E. and Gaskell, R. W. and Weirich, J. R. and Johnson, C. L. and {Al Asad}, M. M. and Roberts, J. H. and Perry, M. E. and Susorney, H. C.M. and Daly, R. T. and Bierhaus, E. B. and Seabrook, J. A. and Espiritu, R. C. and Nair, A. H. and Nguyen, L. and Neumann, G. A. and Ernst, C. M. and Boynton, W. V. and Nolan, M. C. and Adam, C. D. and Moreau, M. C. and Rizk, B. and {Drouet D'Aubigny}, C. Y. and Jawin, E. R. and Walsh, K. J. and Michel, P. and Schwartz, S. R. and Ballouz, R. L. and Mazarico, E. M. and Scheeres, D. J. and McMahon, J. W. and Bottke, W. F. and Sugita, S. and Hirata, N. and Watanabe, S. I. and Burke, K. N. and DellaGiustina, D. N. and Bennett, C. A. and Lauretta, D. S. and Highsmith, D. E. and Small, J. and Vokrouhlick{\'{y}}, D. and Bowles, N. E. and Brown, E. and {Donaldson Hanna}, K. L. and Warren, T. and Brunet, C. and Chicoine, R. A. and Desjardins, S. and Gaudreau, D. and Haltigin, T. and Millington-Veloza, S. and Rubi, A. and Aponte, J. and Gorius, N. and Lunsford, A. and Allen, B. and Grindlay, J. and Guevel, D. and Hoak, D. and Hong, J. and Schrader, D. L. and Bayron, J. and Golubov, O. and S{\'{a}}nchez, P. and Stromberg, J. and Hirabayashi, M. and Hartzell, C. M. and Oliver, S. and Rascon, M. and Harch, A. and Joseph, J. and Squyres, S. and Richardson, D. and Emery, J. P. and McGraw, L. and Ghent, R. and Binzel, R. P. and Asad, M. M.Al and Philpott, L. and Cloutis, E. A. and Hanna, R. D. and Connolly, H. C. and Ciceri, F. and Hildebrand, A. R. and Ibrahim, E. M. and Breitenfeld, L. and Glotch, T. and Rogers, A. D. and Clark, B. E. and Ferrone, S. and Thomas, C. A. and Campins, H. and Fernandez, Y. and Chang, W. and Cheuvront, A. and Trang, D. and Tachibana, S. and Yurimoto, H. and Brucato, J. R. and Poggiali, G. and Pajola, M. and Dotto, E. and Epifani, E. Mazzotta and Crombie, M. K. and Lantz, C. and Izawa, M. R.M. and de Leon, J. and Licandro, J. and Garcia, J. L.Rizos and Clemett, S. and Thomas-Keprta, K. and Van wal, S. and Yoshikawa, M. and Bellerose, J. and Bhaskaran, S. and Boyles, C. and Chesley, S. R. and Elder, C. M. and Farnocchia, D. and Harbison, A. and Kennedy, B. and Knight, A. and Martinez-Vlasoff, N. and Mastrodemos, N. and McElrath, T. and Owen, W. and Park, R. and Rush, B. and Swanson, L. and Takahashi, Y. and Velez, D. and Yetter, K. and Thayer, C. and Adam, C. and Antreasian, P. and Bauman, J. and Bryan, C. and Carcich, B. and Corvin, M. and Geeraert, J. and Hoffman, J. and Leonard, J. M. and Lessac-Chenen, E. and Levine, A. and McAdams, J. and McCarthy, L. and Nelson, D. and Page, B. and Pelgrift, J. and Sahr, E. and Stakkestad, K. and Stanbridge, D. and Wibben, D. and Williams, B. and Williams, K. and Wolff, P. and Hayne, P. and Kubitschek, D. and Barucci, M. A. and Deshapriya, J. D.P. and Fornasier, S. and Fulchignoni, M. and Hasselmann, P. and Merlin, F. and Praet, A. and Billett, O. and Boggs, A. and Buck, B. and Carlson-Kelly, S. and Cerna, J. and Chaffin, K. and Church, E. and Coltrin, M. and Daly, J. and Deguzman, A. and Dubisher, R. and Eckart, D. and Ellis, D. and Falkenstern, P. and Fisher, A. and Fisher, M. E. and Fleming, P. and Fortney, K. and Francis, S. and Freund, S. and Gonzales, S. and Haas, P. and Hasten, A. and Hauf, D. and Hilbert, A. and Howell, D. and Jaen, F. and Jayakody, N. and Jenkins, M. and Johnson, K. and Lefevre, M. and Ma, H. and Mario, C. and Martin, K. and May, C. and McGee, M. and Miller, B. and Miller, C. and Miller, G. and Mirfakhrai, A. and Muhle, E. and Norman, C. and Olds, R. and Parish, C. and Ryle, M. and Schmitzer, M. and Sherman, P. and Skeen, M. and Susak, M. and Sutter, B. and Tran, Q. and Welch, C. and Witherspoon, R. and Wood, J. and Zareski, J. and Arvizu-Jakubicki, M. and Asphaug, E. and Audi, E. and Bandrowski, R. and Becker, K. J. and Becker, T. L. and Bendall, S. and Bloomenthal, H. and Blum, D. and Brodbeck, J. and Chojnacki, M. and Colpo, A. and Contreras, J. and Cutts, J. and D'Aubigny, C. Y.Drouet and Dean, D. and Diallo, B. and Drinnon, D. and Drozd, K. and Enos, H. L. and Enos, R. and Fellows, C. and Ferro, T. and Fisher, M. R. and Fitzgibbon, G. and Fitzgibbon, M. and Forelli, J. and Forrester, T. and Galinsky, I. and Garcia, R. and Gardner, A. and Golish, D. R. and Habib, N. and Hamara, D. and Hammond, D. and Hanley, K. and Harshman, K. and Hergenrother, C. W. and Herzog, K. and Hill, D. and Hoekenga, C. and Hooven, S. and Howell, E. S. and Huettner, E. and Janakus, A. and Jones, J. and Kareta, T. R. and Kidd, J. and Kingsbury, K. and Balram-Knutson, S. S. and Koelbel, L. and Kreiner, J. and Lambert, D. and Lewin, C. and Lovelace, B. and Loveridge, M. and Lujan, M. and Maleszewski, C. K. and Malhotra, R. and Marchese, K. and McDonough, E. and Mogk, N. and Morrison, V. and Morton, E. and Munoz, R. and Nelson, J. and Padilla, J. and Pennington, R. and Polit, A. and Ramos, N. and Reddy, V. and Riehl, M. and Roper, H. L. and Salazar, S. and Selznick, S. and Shultz, N. and Smith, P. H. and Stewart, S. and Sutton, S. and Swindle, T. and Tang, Y. H. and Westermann, M. and Wolner, C. W.V. and Worden, D. and Zega, T. and Zeszut, Z. and Bjurstrom, A. and Bloomquist, L. and Dickinson, C. and Keates, E. and Liang, J. and Nifo, V. and Taylor, A. and Teti, F. and Caplinger, M. and Bowles, H. and Carter, S. and Dickenshied, S. and Doerres, D. and Fisher, T. and Hagee, W. and Hill, J. and Miner, M. and Noss, D. and Piacentine, N. and Smith, M. and Toland, A. and Wren, P. and Bernacki, M. and Munoz, D. Pino and Sandford, S. A. and Aqueche, A. and Ashman, B. and Barker, M. and Bartels, A. and Berry, K. and Bos, B. and Burns, R. and Calloway, A. and Carpenter, R. and Castro, N. and Cosentino, R. and Donaldson, J. and Dworkin, J. P. and Cook, J. Elsila and Emr, C. and Everett, D. and Fennell, D. and Fleshman, K. and Folta, D. and Gallagher, D. and Garvin, J. and Getzandanner, K. and Glavin, D. and Hull, S. and Hyde, K. and Ido, H. and Ingegneri, A. and Jones, N. and Kaotira, P. and Lim, L. F. and Liounis, A. and Lorentson, C. and Lorenz, D. and Lyzhoft, J. and Mink, R. and Moore, W. and Moreau, M. and Mullen, S. and Nagy, J. and Neumann, G. and Nuth, J. and Poland, D. and Reuter, D. C. and Rhoads, L. and Rieger, S. and Rowlands, D. and Sallitt, D. and Scroggins, A. and Shaw, G. and Simon, A. A. and Swenson, J. and Vasudeva, P. and Wasser, M. and Zellar, R. and Grossman, J. and Johnston, G. and Morris, M. and Wendel, J. and Burton, A. and Keller, L. P. and McNamara, L. and Messenger, S. and Nakamura-Messenger, K. and Nguyen, A. and Righter, K. and Queen, E. and Bellamy, K. and Dill, K. and Gardner, S. and Giuntini, M. and Key, B. and Kissell, J. and Patterson, D. and Vaughan, D. and Wright, B. and {Le Corre}, L. and Li, J. Y. and Molaro, J. L. and Siegler, M. A. and Tricarico, P. and Zou, X. D. and Ireland, T. and Tait, K. and Bland, P. and Anwar, S. and Bojorquez-Murphy, N. and Christensen, P. R. and Haberle, C. W. and Mehall, G. and Rios, K. and Franchi, I. and Rozitis, B. and Beddingfield, C. B. and Marshall, J. and Brack, D. N. and French, A. S. and McCoy, T. J. and Russell, S. and Killgore, M. and Hamilton, V. E. and Kaplan, H. H. and Bandfield, J. L. and Clark, B. C. and Chodas, M. and Lambert, M. and Masterson, R. A. and Freemantle, J. and Craft, K. and Ernst, C. and Holdridge, M. and Jones, M. and Peachey, J. and Plescia, J. and Steele, R. and Turner, R. and Backer, J. and Edmundson, K. and Mapel, J. and Milazzo, M. and Sides, S. and Manzoni, C. and May, B. and Delbo', M. and Libourel, G. and Ryan, A. and Thuillet, F. and Marty, B.},
doi = {10.1038/s41561-019-0330-x},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Barnouin et al/Nature Geoscience/s41561-019-0330-x.pdf:pdf},
issn = {17520908},
journal = {Nature Geoscience},
number = {4},
pages = {247--252},
title = {{Shape of (101955) Bennu indicative of a rubble pile with internal stiffness}},
volume = {12},
year = {2019}
}
@article{Gaskell2008a,
author = {Gaskell, R W and Scheeres, D J and Konopliv, A S and Mukai, T and Abe, S},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Gaskell et al/Unknown/Gaskell et al. - 2008 - Characterizing and navigating small bodies with imaging data.pdf:pdf},
keywords = {shape modeling},
mendeley-tags = {shape modeling},
number = {6},
pages = {1049--1061},
title = {{Characterizing and navigating small bodies with imaging data}},
volume = {1061},
year = {2008}
}
@article{Hata2019,
author = {Hata, Kenji and Savarese, Silvio},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Hata, Savarese/Stanford-CS231A/03-epipolar-geometry.pdf:pdf},
journal = {Stanford-CS231A},
pages = {14},
title = {{CS231A Course Notes 3: Epipolar Geometry}},
year = {2019}
}
@inproceedings{Morrell2020,
abstract = {The autonomous approach of a spacecraft to an asteroid or comet (a small body) relies heavily on visual fea- ture tracking to aid in estimating relative trajectories and the properties of the small body. Feature tracking for small bodies brings several challenges, including changing lighting, poor visual texture, and a concentration of features in a small part of an image. Six existing, open-source algorithms for feature tracking were tested on a simulated dataset and compared to the ground truth in the path of features. The main finding is that none of the algorithms provide all of the desired characteristics of long feature tracks with low errors and few outliers. Instead, there is a trade-off between long feature tracks and low error. The feature-matching algorithms SIFT, and BRISK provide good error characteristics, but short feature tracks, whereas the optical flow algorithm KLT provides long feature tracks, but with many features of large error. Given the challenges in feature tracking, it is recommended to focus development on each component of a feature tracking system: detection, description, and outlier rejection.},
author = {Morrell, Benjamin and Villa, Jacopo and Bandyopadhyay, Saptarshi and Lubey, Daniel and Hockman, Benjamin},
booktitle = {AIAA Ascend},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Morrell et al/AIAA Ascend/Morrell et al. - 2020 - Automatic Feature Tracking on Small Bodies for Autonomous Approach.pdf:pdf},
title = {{Automatic Feature Tracking on Small Bodies for Autonomous Approach}},
year = {2020}
}
@article{Christian2010,
abstract = {Autonomous spacecraft navigation, or the ability of a spacecraft to navigate indepen- dent of Earth-based resources, is a topic of growing importance. Many important mission scenarios either require or would greatly benefit such a capability. An end-to-end study of navigation performance for two such scenarios is used to assess the viability of optical measurements as a solution to the problem of autonomous spacecraft navigation. In the first scenario, performance during a planetary y-by is assessed using real images taken during the MESSENGER spacecraft's June 2007 y-by of Venus. In the second scenario, performance during a lunar return is assessed using synthetically generated images of the Earth and Moon. {\textcopyright} 2010 by John A. Christian and E. Glenn Lightsey.},
author = {Christian, John A. and {Glenn Lightseyy}, E.},
doi = {10.2514/6.2010-8786},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Christian, Glenn Lightseyy/AIAA SPACE Conference and Exposition 2010/6.2010-8786.pdf:pdf},
isbn = {9781600869662},
journal = {AIAA SPACE Conference and Exposition 2010},
number = {September},
title = {{Integrated performance of an autonomous optical navigation system for space exploration}},
year = {2010}
}
@article{Dietrich2020,
author = {Dietrich, Ann B. and McMahon, Jay W.},
doi = {10.2514/1.G004468},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Dietrich, McMahon/Journal of Guidance, Control, and Dynamics/dietrich{\_}silhouette.pdf:pdf},
issn = {07315090},
journal = {Journal of Guidance, Control, and Dynamics},
number = {2},
pages = {310--318},
title = {{Filter initialization with three-dimensional Lidar images in proximity to small bodies}},
volume = {43},
year = {2020}
}
@article{Fujiwara2006,
author = {Fujiwara, A and Kawaguchi, J and Yeomans, D K and Abe, M and Mukai, T and Okada, T and Saito, J and Yano, H and Yoshikawa, M and Scheeres, D J and Cheng, A F and Demura, H and Gaskell, R W and Hirata, N and Ikeda, H and Kominato, T and Miyamoto, H and Nakamura, A M and Nakamura, R and Sasaki, S and Uesugi, K},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Fujiwara et al/Unknown/Fujiwara et al. - 2006 - The Rubble-Pile Asteroid Itokawa as.pdf:pdf},
number = {June},
pages = {1330--1334},
title = {{The Rubble-Pile Asteroid Itokawa as}},
volume = {312},
year = {2006}
}
@article{Gaskell2008,
abstract = {Recent advances in the characterization of small body surfaces with stereophotoclinometry are {\&} discussed. The principal data output is an ensemble of landmark maps (L-maps), high-resolution topography/albedo maps of varying resolution that tile the surface of the body. Because they can have a resolution comparable to the best images, and can be located on a global reference frame to high accuracy, L-maps provide a significant improvement in discriminatory power for studies of small bodies, ranging from regolith processes to interior structure. These techniques are now being used to map larger bodies such as the Moon and Mercury. L-maps are combined to produce a standard global topography model (GTM) with about 1.57 million vectors and having a wide variety of applications. They can also be combined to produce high-resolution topography maps that describe local areas with much greater detail than the GTM. When combined with nominal predictions from other data sources and available data from other instruments such as LIDAR or RADAR, solutions for the spacecraft position and camera pointing are the most accurate available. Examples are drawn from studies of Phobos, Eros, and Itokawa, including surface characterization, gravity analysis, spacecraft navigation, and incorporation of LIDAR or RADAR data. This work has important implications for potential future missions such as Deep Interior and the level of navigation and science that can be achieved. {\textcopyright} The Meteoritical Society, 2008.},
author = {Gaskell, R. W. and Barnouin-Jha, O. S. and Scheeres, D. J. and Konopliv, A. S. and Mukai, T. and Abe, S. and Saito, J. and Ishiguro, M. and Kubota, T. and Hashimoto, T. and Kawaguchi, J. and Yoshikawa, M. and Shirakawa, K. and Kominato, T. and Hirata, N. and Demura, H.},
doi = {10.1111/j.1945-5100.2008.tb00692.x},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Gaskell et al/Meteoritics and Planetary Science/Gaskell et al. - 2008 - Characterizing and navigating small bodies with imaging data(2).pdf:pdf},
issn = {10869379},
journal = {Meteoritics and Planetary Science},
keywords = {image based modeling,nav},
mendeley-tags = {image based modeling,nav},
number = {6},
pages = {1049--1061},
title = {{Characterizing and navigating small bodies with imaging data}},
volume = {43},
year = {2008}
}
@article{Pesce2018,
abstract = {Autonomous mapping and navigation around unknown small bodies is a challenging problem. In todays missions, small body mapping and navigation (SBMN) require significant human intervention on the ground for map refinement and supervision of the navigation and orbit selection process. Although current methodologies adequately performed in past missions (e.g., Rosetta, Hayabusa, Deep Space), they are not suitable for applications requiring a high level of autonomy. This work proposes a method for autonomous orbit selection and adaptation around a small body while mapping its surface. In particular, in this work, we will develop cost functions that quantify the orbit goodness in the sense of map improvement. In other words, we develop quantitative measures that characterize the accuracy of the small body map and use these measures in an optimization process to compute the next best orbit that maximally contributes to the map enhancement. The proposed framework reduces the human involvement in this process and takes a step toward the fully autonomous mapping and navigation around small bodies.},
author = {Pesce, Vincenzo and Agha-Mohammadi, Ali Akbar and Lavagna, Mich{\`{e}}le},
doi = {10.1109/AERO.2018.8396797},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Pesce, Agha-Mohammadi, Lavagna/IEEE Aerospace Conference Proceedings/Pesce, Agha-Mohammadi, Lavagna - 2018 - Autonomous navigation {\&} mapping of small bodies.pdf:pdf},
isbn = {9781538620144},
issn = {1095323X},
journal = {IEEE Aerospace Conference Proceedings},
keywords = {autonav,shape modeling},
mendeley-tags = {autonav,shape modeling},
pages = {1--10},
title = {{Autonomous navigation {\&} mapping of small bodies}},
volume = {2018-March},
year = {2018}
}
@article{Franco2009,
author = {Franco, Jean-s{\'{e}}bastien and Boyer, Edmond and Franco, Jean-s{\'{e}}bastien and Boyer, Edmond and Polyhedral, Efficient and Ieee, Silhouettes},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Franco et al/Unknown/Franco et al. - 2009 - Efficient Polyhedral Modeling from Silhouettes To cite this version HAL Id inria-00349103 Efficient Polyhedral.pdf:pdf},
keywords = {shape from silhouette,visual hull},
mendeley-tags = {shape from silhouette,visual hull},
title = {{Efficient Polyhedral Modeling from Silhouettes To cite this version : HAL Id : inria-00349103 Efficient Polyhedral Modeling from Silhouettes}},
year = {2009}
}
@article{Brochard2018,
author = {Brochard, R. and Lebreton, J.},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Brochard, Lebreton/arXiv/1810.01423.pdf:pdf},
journal = {arXiv},
keywords = {abbreviations,acronyms,ads,airbus defence and space,bidirectional reflectance distribution function,brdf,computer vision,image rendering,navigation,raytracing,space exploration},
pages = {1--11},
title = {{Scientific image rendering for space scenes with the SurRender software}},
year = {2018}
}
@article{Christian2020,
abstract = {Image-based terrain relative navigation is expected to play an important role in the safe operation of upcoming lunar exploration missions. This work provides a detailed treatment of how visual odometry direction-of-motion measurements maybe constructed using imagesfromamonocularcameraandwithout the need ofanonboardmapof the lunar surface. Substantial care is required to achieve best-possible navigation performance, which numerical studies indicate is sufficient to enable many types of autonomous navigation. Results are shown for historical Apollo images and for synthetic images. While visual odometry alone may not meet every mission's needs, it is a powerful technique that should be a part of every professional spacecraft navigator's toolkit.},
author = {Christian, John A},
doi = {10.2514/1.A34875},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Christian/Journal of Spacecraft and Rockets/1.a34875.pdf:pdf},
journal = {Journal of Spacecraft and Rockets},
keywords = {No map,TRN},
mendeley-tags = {No map,TRN},
pages = {1--18},
title = {{Image-Based Lunar Terrain Relative Navigation without a Map: Measurements}},
url = {https://doi.org/10.2514/1.A34875{\%}0AImage-based},
year = {2020}
}
@inproceedings{Villa2021,
author = {Villa, Jacopo and Osmundson, Alan and Hockman, Benjamin and Morrell, Benjamin and Lubey, Daniel and Bayard, David and Mcmahon, Jay and Nesnas, Issa A},
booktitle = {AAS GN{\&}C Conference},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Villa et al/AAS GN{\&}C Conference/Villa et al. - 2021 - Light-Robust Pole-From-Silhouette Algorithm and Visual-Hull Estimation for Autonomous Optical Navigation To an Unk.pdf:pdf},
pages = {1--24},
title = {{Light-Robust Pole-From-Silhouette Algorithm and Visual-Hull Estimation for Autonomous Optical Navigation To an Unknown Small Body}},
year = {2021}
}
@article{Christian2012,
abstract = {A new image-processing algorithm is presented that is capable of autonomously extracting optical navigation measurements from raw images taken by a spacecraft in the vicinity of a planet or moon. The algorithm is designed to support autonomous navigation onboard a spacecraft without Earth communication. The planet or moon is modeled as a triaxial ellipsoid and the two-dimensional image is fitted to the three-dimensional model using conic section curve fitting methods. The performance of this algorithm is demonstrated with real images of Earth, the moon, Venus, Mercury, and Phobos taken by spacecraft under different operating conditions. Analytic methods are also presented for computing the corresponding measurement covariance matrices and measurement sensitivity matrices. Copyright {\textcopyright} 2011 by Serhat Hosder.},
annote = {Focus on larger bodies where you can't see whole thing in one image
John Christian is a very smart man},
author = {Christian, John A. and Lightsey, E. Glenn},
doi = {10.2514/1.A32065},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Christian, Lightsey/Journal of Spacecraft and Rockets/Christian, Lightsey - 2012 - Onboard image-processing algorithm for a spacecraft optical navigation sensor system.pdf:pdf},
issn = {00224650},
journal = {Journal of Spacecraft and Rockets},
keywords = {image based modeling,onboard,opnav},
mendeley-tags = {image based modeling,onboard,opnav},
number = {2},
pages = {337--352},
title = {{Onboard image-processing algorithm for a spacecraft optical navigation sensor system}},
volume = {49},
year = {2012}
}
@article{Lu2020,
author = {Lu, Xiaoxuan and Zhu, Shengying and Liang, Zixuan},
doi = {10.1016/j.actaastro.2020.06.024},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Lu, Zhu, Liang/Acta Astronautica/Lu, Zhu, Liang - 2020 - Acta Astronautica Fast restoration of smeared navigation images for asteroid approach phase.pdf:pdf},
issn = {0094-5765},
journal = {Acta Astronautica},
keywords = {Asteroid exploration,Feature extraction,Image restoration,Optical navigation},
number = {March},
pages = {287--297},
publisher = {Elsevier Ltd},
title = {{Acta Astronautica Fast restoration of smeared navigation images for asteroid approach phase}},
url = {https://doi.org/10.1016/j.actaastro.2020.06.024},
volume = {176},
year = {2020}
}
@article{Thomas1989,
abstract = {Improved measurement techniques allow quantitative testing of the physical significance of the shapes of small satellites such as the possible occurrence of equilibrium ellipsoid forms. Shapes of the small satellites of Mars, Jupiter, Saturn, and Uranus have been measured using limb coordinates from spacecraft images. Limb-derived ellipsoidal models can measure volumes of irregular objects accurately: ellipsoidal models of Phobos and Deimos derived from limb coordinates are nearly identical to those obtained independently from stereogrammetry (Duxbury and Callahan 1988). These ellipsoidal approximations, however, are incomplete descriptions of the shapes of small satellites in that average residuals are much larger than measurement errors. Ellipsoidal models of eight small satellites compared with equilibrium ellipsoids show that shapes of even moderately irregular satellites are poor predictors of mean densities. Icy satellites smaller than mean radius (Rm) ≈ 150 km are irregularly shaped and have limb roughnesses of several percent of mean radius (RMS residuals .03-.08 Rm). There is no trend in roughness with size below Rm = 150 km. Larger icy satellites are ellipsoidal and have limb roughness below 0.01 Rm. "Rocky" satellites of Rm = 6-110 km are also irregularly shaped; the only larger rocky satellites are the Moon and Io (Rm = 1740 and 1820 km) which have roughnesses well below 0.01 Rm. Data on rocky satellites combined with published data for Ceres and Juno (Millis et al. 1981, 1987) suggest a gradual transition from irregular to ellipsoidal rocky objects. Limb topography and images suggest that the small satellites retain impact scars of diameter of up to 1.7 times the satellite mean radius. These large indentations are the primary difference in shape between small and large satellites. {\textcopyright} 1989.},
author = {Thomas, Peter C.},
doi = {10.1016/0019-1035(89)90089-4},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Thomas/Icarus/Thomas - 1989 - The shapes of small satellites.pdf:pdf},
issn = {10902643},
journal = {Icarus},
number = {2},
pages = {248--274},
title = {{The shapes of small satellites}},
volume = {77},
year = {1989}
}
@article{Bandyonadhyay2019,
abstract = {In this paper, we present a novel Shape from Silhouette (SfS) algorithm to estimate the physical and dynamical properties of a small body-such as an asteroid or comet-from periodic images taken from a distant approaching spacecraft. Standard mapping techniques such as Stereo-Photo-Clinometry (SPC) and Stereo-Photo-Grammetry (SPG) are designed for close-proximity observations in which the body is 1000s of pixels in area, and there are enough surface features on the object. In contrast, our algorithms are suited for distant observations (i.e. during first approach) in which the body is only 10s-100s of pixels in area and does not present any useful visual features. First, using the Fast-Fourier-Transform of the light curve of the small body, we estimate its rotation rate. Then, using our novel silhouette-based 3D shape reconstruction technique, we estimate the shape and size of the small body and its pole of rotation. In this paper, we assume that the small body is performing pure rotation (no tumbling) about its principal axis, that the Sun is directly behind the spacecraft, and that the distance from the spacecraft to the small body is known. These algorithms have been tested using both simulated data from Comet 67P, Asteroids Eros and Itokawa; and real data from the Rosetta mission.},
annote = {Tested real and simulated data as well, but mostly simulated (interesting)},
author = {Bandyonadhyay, Santarshi and Nesnas, Issa and Bhaskaran, Shvam and Hockman, Beniamin and Morrell, Benjamin},
doi = {10.1109/AERO.2019.8741753},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Bandyonadhyay et al/IEEE Aerospace Conference Proceedings/Bandyonadhyay et al. - 2019 - Silhouette-Based 3D Shape Reconstruction of a Small Body from a Spacecraft(2).pdf:pdf},
isbn = {9781538668542},
issn = {1095323X},
journal = {IEEE Aerospace Conference Proceedings},
keywords = {onboard,shape modeling,silhouette},
mendeley-tags = {onboard,shape modeling,silhouette},
title = {{Silhouette-Based 3D Shape Reconstruction of a Small Body from a Spacecraft}},
volume = {2019-March},
year = {2019}
}
@article{Bhaskaran2011,
annote = {Not relevant, just a review and study on how well an established autonav method is working for landing scenarios on two types of bodies. Can't get anything from this},
author = {Bhaskaran, Shyam and Nandi, Sumita and Broschart, Stephen and Wallace, Mark and Cangahuala, L Alberto},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Bhaskaran et al/Unknown/Bhaskaran et al. - 2011 - Small Body Landings Using Autonomous Onboard Optical Navigation.pdf:pdf},
keywords = {autonav,onboard,opnav},
mendeley-tags = {autonav,onboard,opnav},
number = {3},
pages = {409--427},
title = {{Small Body Landings Using Autonomous Onboard Optical Navigation}},
volume = {58},
year = {2011}
}
@article{Boyer2003,
abstract = {This paper addresses the problem of computing visual hulls from image contours. We propose a new hybrid approach which overcomes the precision-complexity trade-off inherent to voxel based approaches by taking advantage of surface based approaches. To this aim, we introduce a space discretization which does not rely on a regular grid, where most cells are ineffective, but rather on an irregular grid where sample points lie on the surface of the visual hull. Such a grid is composed of tetrahedral cells obtained by applying a Delaunay triangulation on the sample points. These cells are carved afterward according to image silhouette information. The proposed approach keeps the robustness of volumetric approaches while drastically improving their precision and reducing their time and space complexities. It thus allows modeling of objects with complex geometry, and it also makes real time feasible for precise models. Preliminary results with synthetic and real data are presented.},
author = {Boyer, Edmond and Franco, Jean S{\'{e}}bastien},
doi = {10.1109/cvpr.2003.1211421},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Boyer, Franco/Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition/boyer{\_}franco{\_}cvpr03.pdf:pdf},
issn = {10636919},
journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
keywords = {computer vision,visual hull},
mendeley-tags = {computer vision,visual hull},
title = {{A hybrid approach for computing visual hulls of complex objects}},
volume = {1},
year = {2003}
}
@article{Gaskell2004,
abstract = {An integrated profram for spacecraft navigation and determination of small body dynamics, shape, and high-resolution topography is discussed. Multiple image stereography and photoclinometry (shape from shading) are used to construct high resolution topographic and albedo maps, whose centers are treated as control points. These landmark maps are re-illuminated and correlated with images to act as body-fixed navigation tie-points. Their limb projections are compared with observed limb profiles to better fix their locations and the spacecraft pointing and positionn. Maps are also correlated with overlapping maps to better determine their body-fixed locations. Finally, a set of overlapping maps covering the body's surface is used to construct a high-resolution model for the body's shape and topography. Assuming a homogeneous mass distribution, such a model can be used to determine gravity harmonics for orbit prediction. These procedures are applicable to any mission involving an extended orbital phase, such as NEAR, Dawn, Deep Interior, or MESSENGER. Eventually, landmark maps could be uploaded to the spacecraft to allow for autonomous optical navigation. As a proof of concept for the Dawn mission, a small sample ({\textless}2000 images) of the available data from the NEAR mission has been used to construct a shape and topography model for Eros. The model is less noisy than the laser altimetry result and, for a homogenous mass distribution, it correlates better with observed gravity harmonics.},
annote = {Does Gaskell use microsoft word to write his articles},
author = {Gaskell, Robert W},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Gaskell/Unknown/Gaskell - 2004 - Optical Only Determination of Small Body Shape and Topography.pdf:pdf},
keywords = {albedo,asteroid,astrogeology,eros,multiple images,phobos,photoclinometry,shape from shading},
pages = {1--28},
title = {{Optical Only Determination of Small Body Shape and Topography}},
year = {2004}
}
@inproceedings{Liounis,
annote = {Use this paper to justify our method - it says you determine the scan lines by the observed subpixel limb locations that we extract from the image and our scan center vector},
author = {Liounis, Andrew J},
booktitle = {RPI Space Imaging Workshop},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Liounis/RPI Space Imaging Workshop/Liounis - Unknown - ( Preprint ) RPI LIMB-BASED OPTICAL NAVIGATION FOR IRREGULAR BODIES.pdf:pdf},
keywords = {asteroid specific,image based modeling,limb tracing,shape from silhouette},
mendeley-tags = {asteroid specific,image based modeling,limb tracing,shape from silhouette},
number = {Code 595},
pages = {1--17},
title = {{Limb-Based Optical Navigation for Irregular Bodies}},
year = {2018}
}
@article{Broz2018,
author = {Bro{\v{z}}, M and Morbidelli, A},
doi = {https://doi.org/10.1016/j.icarus.2018.08.022},
issn = {0019-1035},
journal = {Icarus},
title = {{A study of 3-dimensional shapes of asteroid families with an application to Eos}},
url = {http://www.sciencedirect.com/science/article/pii/S0019103518303506},
year = {2018}
}
@article{DellaGiustina2018,
abstract = {The OSIRIS-REx Asteroid Sample Return Mission is the third mission in National Aeronautics and Space Administration (NASA)'s New Frontiers Program and is the first U.S. mission to return samples from an asteroid to Earth. The most important decision ahead of the OSIRIS-REx team is the selection of a prime sample-site on the surface of asteroid (101955) Bennu. Mission success hinges on identifying a site that is safe and has regolith that can readily be ingested by the spacecraft's sampling mechanism. To inform this mission-critical decision, the surface of Bennu is mapped using the OSIRIS-REx Camera Suite and the images are used to develop several foundational data products. Acquiring the necessary inputs to these data products requires observational strategies that are defined specifically to overcome the challenges associated with mapping a small irregular body. We present these strategies in the context of assessing candidate sample sites at Bennu according to a framework of decisions regarding the relative safety, sampleability, and scientific value across the asteroid's surface. To create data products that aid these assessments, we describe the best practices developed by the OSIRIS-REx team for image-based mapping of irregular small bodies. We emphasize the importance of using 3-D shape models and the ability to work in body-fixed rectangular coordinates when dealing with planetary surfaces that cannot be uniquely addressed by body-fixed latitude and longitude.},
archivePrefix = {arXiv},
arxivId = {1810.10080},
author = {DellaGiustina, D. N. and Bennett, C. A. and Becker, K. and Golish, D. R. and {Le Corre}, L. and Cook, D. A. and Edmundson, K. L. and Chojnacki, M. and Sutton, S. S. and Milazzo, M. P. and Carcich, B. and Nolan, M. C. and Habib, N. and Burke, K. N. and Becker, T. and Smith, P. H. and Walsh, K. J. and Getzandanner, K. and Wibben, D. R. and Leonard, J. M. and Westermann, M. M. and Polit, A. T. and Kidd, J. N. and Hergenrother, C. W. and Boynton, W. V. and Backer, J. and Sides, S. and Mapel, J. and Berry, K. and Roper, H. and Drouet d'Aubigny, C. and Rizk, B. and Crombie, M. K. and Kinney-Spano, E. K. and de Le{\'{o}}n, J. and Rizos, J. L. and Licandro, J. and Campins, H. C. and Clark, B. E. and Enos, H. L. and Lauretta, D. S.},
doi = {10.1029/2018EA000382},
eprint = {1810.10080},
issn = {23335084},
journal = {Earth and Space Science},
keywords = {Bennu,OCAMS images,OSIRIS-REx,asteroid,image based modelingd,mapping,small bodies},
mendeley-tags = {image based modelingd},
month = {dec},
number = {12},
pages = {929--949},
publisher = {Wiley-Blackwell Publishing Ltd},
title = {{Overcoming the Challenges of Image Based}},
volume = {5},
year = {2018}
}
@article{Rivera2020,
annote = {good paper with good suggestions on edge detection pre-processing steps and explanation for canny operator limitations},
author = {Rivera, Kalani R Danas and Peck, Mason A},
doi = {10.2514/6.2020-1837},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Rivera, Peck/Unknown/Rivera, Peck - 2020 - Autonomous Navigation Using Novel Sources at Jupiter.pdf:pdf},
keywords = {autonav,canny operator,image processing},
mendeley-tags = {autonav,canny operator,image processing},
number = {January},
pages = {1--14},
title = {{Autonomous Navigation Using Novel Sources at Jupiter}},
year = {2020}
}
@article{Brand2004,
abstract = {We introduce an algebraic dual-space method for reconstructing the visual hull of a three-dimensional object from occluding contours observed in 2D images. The method exploits the differential structure of the manifold rather than parallax geometry, and therefore requires no correspondences. We begin by observing mat the set of 2D contour tangents determines a surface in a dual space where each point represents a tangent plane to the original surface. The primal and dual surfaces have a symmetric algebra: A point on one is orthogonal to its dual point and tangent basis on the other. Thus the primal surface can be reconstructed if the local dual tangent basis can be estimated. Typically this is impossible because the dual surface is noisy and riddled with tangent singularities due to self-crossings. We identify a directionally-indexed local tangent basis that is well-defined and estimable everywhere on the dual surface. The estimation procedure handles singularities in the dual surface and degeneracies arising from measurement noise. The resulting method has O(N) complexity for N observed contour points and gives asymptotically exact reconstructions of surfaces that are totally observable from occluding contours.},
author = {Brand, Matthew and Kang, Kongbin and Cooper, David B.},
doi = {10.1109/cvpr.2004.1315010},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Brand, Kang, Cooper/Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Brand, Kang, Cooper - 2004 - Algebraic solution for the visual hull.pdf:pdf},
issn = {10636919},
journal = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
keywords = {math,visual hull},
mendeley-tags = {math,visual hull},
title = {{Algebraic solution for the visual hull}},
volume = {1},
year = {2004}
}
@article{Matusik2000,
abstract = {In this paper, we describe an efficient image-based approach to computing and shading visual hulls from silhoutte image data. Our algorithm takes advantage of epipolar geometry and incremental computation to achieve a constant rendering cost per rendered pixel. It does not suffer from the computation complexity, limited resolution, or quantization artifacts of previous volumetric approaches. We demonstrate the use of this algorithm in a real-time virtualized reality application running off a small number of video streams.},
author = {Matusik, W. and Buehler, C. and Raskar, R. and Gortler, S. J. and McMillan, L.},
doi = {10.1145/344779.344951},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Matusik et al/Proceedings of the ACM SIGGRAPH Conference on Computer Graphics/Matusik et al. - 2000 - Image-based visual hulls.pdf:pdf},
journal = {Proceedings of the ACM SIGGRAPH Conference on Computer Graphics},
keywords = {Computer vision,Constructive solid geometry,Image-based rendering,Misc. rendering algorithms,computer visioncomputer vision,math,visual hull},
mendeley-tags = {computer visioncomputer vision,math,visual hull},
pages = {369--374},
title = {{Image-based visual hulls}},
year = {2000}
}
@article{Bayard2008,
abstract = {A methodology is summarized for designing on-board state estimators in support of spacecraft exploration of small bodies such as asteroids and comets. This paper focuses on an estimation algorithm that incorporates two basic computer-vision measurement types: a landmark table (LMT) and a paired feature table (PFT). Several innovations are developed to incorporate these measurement types into the on-board state estimation algorithm. Simulations are provided to demonstrate the feasibility of the approach.},
annote = {Talks about landmark table and paired feature table and how they are used for onboard state estimation
guidance and navigation
specifically about small bodies
This paper discusses what to do with data after you extract it using SIFT, Kalman filters, attitude sensors, etc.},
author = {Bayard, David S. and Brugarolas, Paul B.},
doi = {10.1109/TAES.2008.4517002},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Bayard, Brugarolas/IEEE Transactions on Aerospace and Electronic Systems/Bayard, Brugarolas - 2008 - On-board vision-based spacecraft estimation algorithm for small body exploration.pdf:pdf},
isbn = {0018-9251},
issn = {00189251},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
keywords = {Asteroid specific,GN{\&}C,onboard},
mendeley-tags = {Asteroid specific,GN{\&}C,onboard},
number = {1},
pages = {243--260},
title = {{On-board vision-based spacecraft estimation algorithm for small body exploration}},
volume = {44},
year = {2008}
}
@article{Baldini2018,
annote = {Focused on estimating full asteroid attitude state frame, everything. Have to make a lot of assumptions but get a lot of estimatable data out of it.},
author = {Baldini, Francesca and Harvard, Alexei and Chung, Soon-jo},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Baldini, Harvard, Chung/Unknown/Baldini, Harvard, Chung - 2018 - Autonomous Small Body Mapping and Spacecraft Navigation.pdf:pdf},
keywords = {autonav,math,shape modeling},
mendeley-tags = {autonav,math,shape modeling},
number = {October},
pages = {1--5},
title = {{Autonomous Small Body Mapping and Spacecraft Navigation}},
year = {2018}
}
@article{Li2013,
abstract = {As Earth-based radio tracking navigation is severely limited because of communications constraints and low relative navigation accuracy, autonomous optical navigation capabilities are essential for both robotic and manned deep-space exploration missions. Image processing is considered one of the key technologies for autonomous optical navigation to extract high-precision navigation observables from a raw image. New image processing algorithms for deep-space autonomous optical navigation are developed in this paper. First, multiple image pre-processing and the Canny edge detection algorithm are adopted to identify the edges of target celestial bodies and simultaneously remove the potential false edges. Secondly, two new limb profile fitting algorithms are proposed based on the Least Squares method and the Levenberg-Marquardt algorithm, respectively, with the assumption that the perspective projection of a target celestial body on the image plane will form an ellipse. Next, the line-of-sight (LOS) vector from the spacecraft to the centroid of the observed object is obtained. This is taken as the navigation measurement observable and input to the navigation filter algorithm. Finally, the image processing algorithms developed in this paper are validated using both synthetic simulated images and real flight images from the MESSENGER mission. Copyright {\textcopyright} 2013 The Royal Institute of Navigation.},
author = {Li, Shuang and Lu, Ruikun and Zhang, Liu and Peng, Yuming},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Li et al/Journal of Navigation/Li et al. - 2013 - Image processing algorithms for deep-space autonomous optical navigation.pdf:pdf},
issn = {03734633},
journal = {Journal of Navigation},
keywords = {Autonomous optical navigation,Centroid extracting,Ellipse fitting,Image processing,canny operator,image processing},
mendeley-tags = {canny operator,image processing},
number = {4},
pages = {605--623},
title = {{Image processing algorithms for deep-space autonomous optical navigation}},
volume = {66},
year = {2013}
}
@article{Lorenz2017,
abstract = {The Origins, Spectral Interpretation, Resource Identification, Security-Regolith Explorer (OSIRIS-REx) spacecraft launched on September 8, 2016 to embark on an asteroid sample return mission. It is expected to rendezvous with the asteroid, Bennu, navigate to the surface, collect a sample (July'20), and return the sample to Earth (September'23). The original mission design called for using one of two Flash Lidar units to provide autonomous navigation to the surface. Following Preliminary design and initial development of the Lidars, reliability issues with the hardware and test program prompted the project to begin development of an alternative navigation technique to be used as a backup to the Lidar. At the critical design review, Natural Feature Tracking (NFT) was added to the mission. NFT is an onboard optical navigation system that compares observed images to a set of asteroid terrain models which are rendered in real-time from a catalog stored in memory on the flight computer. Onboard knowledge of the spacecraft state is then updated by a Kalman filter using the measured residuals between the rendered reference images and the actual observed images. The asteroid terrain models used by NFT are built from a shape model generated from observations collected during earlier phases of the mission and include both terrain shape and albedo information about the asteroid surface. As a result, the success of NFT is dependent on selecting a set of topographic features that can be both identified during descent as well as reliably rendered using the shape model data available. During development, the OSIRIS-REx team faced significant challenges in developing a process conducive to robust operation. This was especially true for terrain models to be used as the spacecraft gets close to the asteroid and higher fidelity models are required for reliable image correlation. This paper will present some of the challenges and lessons learned from the development of the NFT system which includes not just the flight hardware and software but the development of the terrain models used to generate the onboard rendered images.},
author = {Lorenz, David A. and Olds, Ryan and May, Alexander and Mario, Courtney and Perry, Mark E. and Palmer, Eric E. and Daly, Michael},
doi = {10.1109/AERO.2017.7943684},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Lorenz et al/IEEE Aerospace Conference Proceedings/orex{\_}nft.pdf:pdf},
isbn = {9781509016136},
issn = {1095323X},
journal = {IEEE Aerospace Conference Proceedings},
keywords = {NFT,Orex,TRN},
mendeley-tags = {NFT,Orex,TRN},
publisher = {IEEE},
title = {{Lessons learned from OSIRIS-REx autonomous navigation using natural feature tracking}},
year = {2017}
}
@article{Rayman2020,
author = {Rayman, Marc D.},
doi = {10.1016/j.actaastro.2020.06.023},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Rayman/Acta Astronautica/1-s2.0-S0094576520303908-main.pdf:pdf},
issn = {00945765},
journal = {Acta Astronautica},
keywords = {Asteroid,Ceres,Dwarf planet,Lessons,Mission operations,Solar electric propulsion,Vesta},
number = {February},
pages = {233--237},
publisher = {Elsevier Ltd},
title = {{Lessons from the Dawn mission to Ceres and Vesta}},
url = {https://doi.org/10.1016/j.actaastro.2020.06.023},
volume = {176},
year = {2020}
}
@article{Bhaskaran2012,
abstract = {Autonomous navigation (AutoNav) for deep space missions is a unique capability that was developed at JPL and used successfully for every camera-equipped comet encounter flown by NASA (Borrelly, Wild 2, Tempel 1, and Hartley 2), as well as an asteroid flyby (Annefrank). AutoNav is the first on-board software to perform autonomous interplanetary navigation (image processing, trajectory determination, maneuver computation), and the first and only system to date to autonomously track comet and asteroid nuclei as well as target and intercept a comet nucleus. In this paper, the functions used by AutoNav and how they were used in previous missions are described. Scenarios for future mission concepts which could benefit greatly from the AutoNav system are also provided. {\textcopyright} 2012 by the American Institute of Aeronautics and Astronautics, Inc.},
author = {Bhaskaran, Shyam},
doi = {10.2514/6.2012-1267135},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Bhaskaran/SpaceOps 2012 Conference/Bhaskaran - 2012 - Autonomous navigation for deep space missions.pdf:pdf},
journal = {SpaceOps 2012 Conference},
keywords = {AutoNav},
mendeley-tags = {AutoNav},
title = {{Autonomous navigation for deep space missions}},
year = {2012}
}
@article{Tanimoto2013,
abstract = {In this paper, we consider fast simultaneous estimation problem of the geometric shape of the asteroid and the relative motion of the spacecraft. In asteroid exploration missions, the information of asteroid shape and motion is needed to find suitable landing sites and navigate the spacecraft safely. In the previous HAYABUSA mission, large part of the estimation was performed manually by ground operators. We propose an efficient automatic estimation method using the image feature matching and matrix decomposition based fast 3D reconstruction techniques. Preliminary experiment results are also shown.},
annote = {Really thorough computational investigation, doesn't go too far into math and what they have is very easy to understand
So many good graphics to describe the procedure
This paper came before the other SLAM papers and seems like they are simply trying to wrap their own heads around the problem instead of going too far into it
They were making their own method to enhance SLAM for asteroid efforts},
author = {Tanimoto, Akira and Takeishi, Naoya and Yairi, Takehisa and Tsuda, Yuichi and Terui, Fuyuto and Ogawa, Naoko and Mimasu, Yuya},
doi = {10.1109/ROBIO.2013.6739687},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Tanimoto et al/2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013/Tanimoto et al. - 2013 - Fast estimation of asteroid shape and motion for spacecraft navigation.pdf:pdf},
isbn = {9781479927449},
journal = {2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013},
keywords = {Algorithm,Asteroid specific,SLAM},
mendeley-tags = {Algorithm,Asteroid specific,SLAM},
number = {December},
pages = {1550--1555},
title = {{Fast estimation of asteroid shape and motion for spacecraft navigation}},
year = {2013}
}
@inproceedings{Driver,
annote = {This work basically did what I would like to do, and did it better},
author = {Driver, Travis and Dor, Mehregan and Skinner, Katherine A and Tsiotras, Panagiotis},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Driver et al/Unknown/Space{\_}carving{\_}in{\_}space.pdf:pdf},
keywords = {shape modeling,slam},
mendeley-tags = {shape modeling,slam},
pages = {1--20},
title = {{( Preprint ) AAS 20-661 SPACE CARVING IN SPACE : A VISUAL-SLAM APPROACH TO 3D SHAPE RECONSTRUCTION OF A SMALL CELESTIAL BODY}}
}
@article{Panicucci,
abstract = {Small bodies exploration highlighted the need to develop new algorithms for deep space probes navigation. The limited knowledge of small bodies properties imposes numerous challenges in mission design and spacecraft operation. In particular, the time required for communication and the uncertainty on small body parameters estimation require the devel- opment and improvement of autonomous navigation and decision making. The estimation of the shape and rotation pole orientation in the inertial space is a crucial step for relative navigation and orbital frames definition, and an important milestone to in- vestigate the gravity field under the assumption of constant density. Current techniques rely on shape from shadowing, i.e. stereophotoclinometry, or shape from motion, i.e. stereopho- togrammetry. These approaches have been used since the beginning of asteroid exploration and, as a consequence, they have a high degree of reliability. Unfortunately, these algo- rithms cannot be used on board because of the extreme computational burden and the need of human-in-the-loop to control the convergence of the output solution. In the perspective of designing autonomous algorithms to enable navigation during the approach phase of small body missions, new solutions must be developed by limiting the needed data to the infor- mation available on board and by considering simpler algorithms that could be used without delayed communication with Earth. This paper develops a shape from silhouette algorithm that takes as input a series of polyg- onal silhouettes to construct a polyhedral shape. The shape is computed by intersecting the viewing cones, i.e. the cone defined by having the camera center as vertex and the silhouette points as part of the edges. The algorithm output is a polyhedral shape that can be used for preliminary gravitational characterization of the small body, under hypothesis of constant density, or in model-based tracking algorithms. Finally, numerical simulation are presented and commented to have an overview of the pro- posed algorithm.},
author = {Panicucci, Paolo and Mcmahon, Jay and Zenou, Emmanuel and Delpech, Michel},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Panicucci et al/Unknown/AAS{\_}GNC{\_}2020{\_}v2.pdf:pdf},
keywords = {shape from silhouette,shape modeling},
mendeley-tags = {shape from silhouette,shape modeling},
pages = {1--12},
title = {{POLYHEDRAL SHAPE FROM SILHOUETTES FOR SMALL BODY CHARACTERIZATION}}
}
@inproceedings{Owen2011,
abstract = {Optical navigation is the use of onboard imaging to aid in the determination of the spacecraft trajectory and of the targets' ephemerides. Opnav techniques provide a direct measurement of the direction from a spacecraft to target bodies. Opnav data thus complement both radiometric tracking data (for instance, Doppler and range) and the groundbased astrometry which is used to determine the a priori ephemeris of the targets. We present the geometry and camera models which form the mathematical basis for optical navigation and some of the image processing techniques by which one can extract the optical observables—that is, the sample and line coordinates of images—from pictures.},
address = {New Orleans, Louisiana},
author = {Owen, William M},
booktitle = {AAS Spaceflight Mechanics Conference},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Owen/AAS Spaceflight Mechanics Conference/Owen - 2011 - METHODS OF OPTICAL NAVIGATION.pdf:pdf},
keywords = {opnav},
mendeley-tags = {opnav},
pages = {1--19},
publisher = {Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration},
title = {{METHODS OF OPTICAL NAVIGATION}},
year = {2011}
}
@article{Takahashi2011,
abstract = {The most crucial task for a spacecraft upon arriving at a small body is to determine the strength of the body's gravity field. This research proposes and models this initial characterization via a series of slow flybys and analyzes how rapidly the gravity field can be estimated and the precision to which it can be determined. Two analytical issues are addressed in this paper that are pertinent to the design of this characterization process and can be used to evaluate whether there is a need for lidar measurements. A new operational procedure called $\Delta$V ranging is proposed, which can eliminate the need for lidar during the initial characterization phase. Following this, the characterization of the gravity field is addressed by performing a covariance analysis around three asteroids: Itokawa, Didymos, and Eros, representing a two-order-of-magnitude difference in size. {\textcopyright} 2011 by Y. Takahashi and D. J. Scheeres. Published by the American Institute of Aeronautics and Astronautics, Inc.},
author = {Takahashi, Yu and Scheeres, D. J.},
doi = {10.2514/1.53722},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Takahashi, Scheeres/Journal of Guidance, Control, and Dynamics/deltavranging.pdf:pdf},
isbn = {6404632373},
issn = {07315090},
journal = {Journal of Guidance, Control, and Dynamics},
number = {6},
pages = {1815--1827},
title = {{Small-body postrendezvous characterization via slow hyperbolic flybys}},
volume = {34},
year = {2011}
}
@article{Nister2004,
abstract = {An efficient algorithmic solution to the classical five-point relative pose problem is presented. The problem is to find the possible solutions for relative camera motion between two calibrated views given five corresponding points. The algorithm consists of computing the coefficients of a tenth degree polynomial and subsequently finding its roots. It is the first algorithm well suited for numerical implementation that also corresponds to the inherent complexity of the prob- lem. The algorithm is used in a robust hypothesise-and-test framework to estimate structure and motion in real-time.},
annote = {Was this pre-SLAM?
Seems like it is part of the general scheme of a SLAM algorithm
Good paper for some background
Mathematical theory description},
author = {Nister, David},
doi = {10.1109/TPAMI.2004.17},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Nister/Unknown/Nister - 2004 - An Efficient Solution to the Five-Point Relative Pose Problem.pdf:pdf},
isbn = {0-7695-1900-8},
issn = {01628828},
keywords = {Feature detection,Math,camera calibration,ego-,imaging geometry,motion,motion estimation,relative orien-,scene reconstruction,structure from motion,tation},
mendeley-tags = {Feature detection,Math},
number = {6},
pages = {756--770},
pmid = {18579936},
title = {{An Efficient Solution to the Five-Point Relative Pose Problem}},
volume = {26},
year = {2004}
}
@article{Christian2017,
abstract = {The use of images for spacecraft navigation is well established. Although these images have traditionally been processed by a human analyst on Earth, a variety of recent advancements have led to an increased interest in autonomous imaged-based spacecraft navigation. This work presents a comprehensive treatment of the techniques required to navigate using the lit limb of an ellipsoidal body (usually a planet or moon) in an image. New observations are made regarding the effect of surface albedo and terrain on navigation performance. Furthermore, study of this problem led to a new subpixel edge localization algorithm using Zernike moments, which is found to outperform existing methods for accurately finding the horizon's location in an image. The new limb localization technique is discussed in detail, along with extensive comparisons with alternative approaches. Theoretical results are validated through a variety of numerical examples.},
author = {Christian, John A.},
doi = {10.2514/1.A33692},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Christian/Journal of Spacecraft and Rockets/Christian - 2017 - Accurate planetary limb localization for image-based spacecraft navigation.pdf:pdf},
issn = {00224650},
journal = {Journal of Spacecraft and Rockets},
keywords = {image based modeling,limb,opnav},
mendeley-tags = {image based modeling,limb,opnav},
number = {3},
pages = {708--730},
title = {{Accurate planetary limb localization for image-based spacecraft navigation}},
volume = {54},
year = {2017}
}
@article{Canny1986,
author = {Canny, John},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Canny/Unknown/Canny - 1986 - A Computational Approach to Edge Detection.pdf:pdf},
number = {6},
title = {{A Computational Approach to Edge Detection}},
year = {1986}
}
@inproceedings{Villa2020,
author = {Villa, Jacopo and Bandyopadhyay, Saptarshi and Morrell, Benjamin and Hockman, Benjamin and Lubey, Daniel and Harvard, Alexi and Chung, Soon-Jo and Bhaskaran, Shyamkumar and Nesnas, Issa A},
booktitle = {AAS GN{\&}C Conference},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Villa et al/AAS GN{\&}C Conference/Villa et al. - 2020 - Optical Navigation for Autonomous Approach of Small Unknown Bodies.pdf:pdf},
keywords = {autonav,opnav},
mendeley-tags = {autonav,opnav},
pages = {300},
title = {{Optical Navigation for Autonomous Approach of Small Unknown Bodies}},
year = {2020}
}
@inproceedings{Mcmahon2018,
author = {McMahon, Jay and Scheeres, Daniel},
booktitle = {RPI Space Imaging Workshop},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/McMahon, Scheeres/RPI Space Imaging Workshop/Mcmahon, Scheeres - 2018 - Autonomous Limb-based Shape Modeling ( and Optical Navigation ).pdf:pdf},
keywords = {shape modeling},
mendeley-tags = {shape modeling},
title = {{Autonomous Limb-based Shape Modeling ( and Optical Navigation )}},
year = {2018}
}
@article{Pike2011,
author = {Pike, Richard J and Survey, M S U S Geological and Road, Middlefield and Park, Menlo},
keywords = {digital terrain modelling,geomorphology,geomorphometry,landform quantifica-,surface form,terrain,terrain analysis,tion,topography},
mendeley-tags = {terrain},
pages = {2011},
title = {{Geomorphometry -diversity in quantitative surface analysis}},
volume = {1},
year = {2011}
}
@article{Bercovici2019,
abstract = {This paper proposes an algorithm relying on range images to reconstruct the shape model of the orbited object, train an uncertainty model representative of shape reconstruction inaccuracies and sensor noise using a maximumlikelihood approach combined with a particle-swarm optimizer, and perform model-based relative navigation by comparing range measurements from the onboard shape model to those provided by a light-detection-and-ranging sensor. The presented algorithm yielded a satisfying estimate of the shape model of interest (point-cloud-to-shape RMS residuals of 0.497 m), along with a consistent range error metric that was trained by means of likelihood maximization over the measured range residuals. The reconstructed shape model of asteroid Itokawa and its associated uncertainty metric were used by an iterated extended Kalman filter for navigation. The filter returned an estimate of the spacecraft state and asteroid attitude that was consistent with the covariance envelopes, despite the defects in the reconstructed shape.},
author = {Bercovici, Benjamin and McMahon, Jay W.},
doi = {10.2514/1.G003898},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Bercovici, McMahon/Journal of Guidance, Control, and Dynamics/1.g003898.pdf:pdf},
issn = {15333884},
journal = {Journal of Guidance, Control, and Dynamics},
number = {7},
pages = {1473--1488},
title = {{Robust autonomous small-body shape reconstruction and relative navigation using range images}},
volume = {42},
year = {2019}
}
@article{Scheeres2006,
author = {Scheeres, D J and Gaskell, R W and Abe, Shinsuke and Barnouin, O S},
doi = {10.2514/6.2006-6661},
file = {:Users/dahliabaker/Documents/Mendeley Desktop/Scheeres et al/Unknown/The{\_}Actual{\_}Dynamical{\_}Environment{\_}About{\_}Itokawa.pdf:pdf},
number = {October 2014},
title = {{The Actual Dynamical Environment About Itokawa}},
year = {2006}
}