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Our development focuses on three core projects: AVLite, a high-level autonomy stack for advanced decision-making and perception; ORBit, a risk-bounded mid-level autonomy stack for safe and reliable operation; and Pigeon, a cloud-based backend supporting coordination, data management, and multi-agent collaboration.
AVLite provides advanced decision-making, perception, and planning capabilities for autonomous vehicles, enabling robust navigation and complex task execution. Check AVLite Documentation.
ORBit focuses on real-time risk assessment and high-level stack plan validation through independent evaluation and agentic verification, ensuring safe and reliable operation.
Pigeon enables scalable cloud-based coordination, data management, and backend services for distributed autonomous systems, supporting multi-agent collaboration, remote monitoring, and seamless integration with digital twin environments.
Please visit our GitHub.
The AV Lab has a fleet of autonomous vehicles, consisting of two passenger vehicles for last-mile transportation and a retrofitted Nissan Leaf. These vehicles are equipped with LiDAR sensors and multiple cameras, allowing for advanced sensing and perception capabilities. We are excited to collaborate with researchers in this field and welcome any inquiries about research partnerships. Please feel free to reach out to us to explore opportunities for collaboration.
Our lab also develops and operates additional research platforms, including a retrofitted Nissan Leaf electric vehicle equipped for autonomous driving experiments and a digital twin of the SAN Campus for simulation and testing. These platforms support advanced research in perception, planning, and system integration for smart mobility solutions. Check our platforms.
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