A LIDAR-powered early warning system for cyclists and drivers to detect vehicles approaching at dangerous speeds from cross streets.
Cyclidar uses LIDAR sensors to continuously monitor cross traffic and provides early warnings when vehicles are approaching too fast, potentially saving lives by giving cyclists and drivers crucial seconds to react.
This project is in the early development phase. We are building:
- Core simulation framework for testing algorithms
- LIDAR data processing modules
- Object detection and tracking
- Threat assessment logic
- Warning/alert system
cyclidar/
├── src/cyclidar/ # Main application code
│ ├── core/ # Core modules
│ ├── simulation/ # Simulation harness
│ ├── sensors/ # Sensor interfaces (LIDAR, etc.)
│ ├── detection/ # Object detection & tracking
│ ├── warning/ # Warning/alarm system
│ └── cli.py # Command line interface
├── tests/ # Test suite
├── docs/ # Documentation
├── config/ # Configuration files
└── scripts/ # Utility scripts
pip install -e ".[dev]"pytest tests/ -vcyclidar simulate --scenario cross-trafficMIT License