This Autonomous Vehicles collection houses innovations from Stanford investigators enabling the next generation of self-driving and advanced driver-assistance (ADAS) systems. These technologies aim to make mobility safer, more efficient, and easier to use through advances in perception, decision-making, and control.
On the software side, the collection includes AI for imitation learning, interactive planning, pedestrian intent prediction, and processing 3D LIDAR data. Sensing technologies range from all-weather imaging radar to LIDAR beam steering and time-of-flight imaging. Components round out the portfolio, including adaptive steering and driver handoff interfaces as well as on-chip lasers and photonic hardware for next-generation sensors.
Key investigators include Sebastian Thrun, Silvio Savarese, Mac Schwager, Jelena Vuckovic, Mark Brongersma, Olav Solgaard, David Miller, Shanhui Fan, and Thomas Lee.