Safe and Robust Navigation for Aerial and Ground Autonomous Vehicles

Autonomous vehicles such as self-driving cars and Unmanned Aerial Vehicles (UAVs) require vehicles to navigate at low altitude and in urban environments posing positioning challenges, such as blockage and multipath effects for GPS signals and unreliable features for vision or LiDAR-based navigation. In this talk, Grace Gao, assistant professor, aeronautics and astronautics will present an overview of her lab's recent work on reliable and safe positioning and navigation for autonomous systems. Examples of model-driven, data-driven and proof-based approaches for intelligently fusing GPS, LiDAR, vision and inertial measurements are discussed.