Autonomous Vehicle AI
AI systems that enable self-driving vehicles through perception, planning, and decision-making algorithms.
Overview
Autonomous vehicle AI combines multiple AI disciplines — computer vision, sensor fusion (LiDAR, cameras, radar), path planning, and decision-making — to enable vehicles to navigate without human intervention. The SAE defines 6 levels of autonomy, from Level 0 (no automation) to Level 5 (full automation).
Technical Stack
Key components include 3D object detection from point clouds and images, HD map localization, trajectory prediction for other road users, motion planning with safety constraints, and simulation for testing. Companies like Waymo, Tesla, Cruise, and Mobileye take different approaches: some rely heavily on LiDAR while others use vision-only systems.