Waymo and Tesla employ very different approaches to achieving vehicle autonomy.

“This claim is well-documented. Waymo uses a multi-sensor suite including LiDAR, radar, and numerous cameras to create a redundant, 3D map of the vehicle's surroundings. In contrast, Tesla has adopted a "vision-only" approach, relying on a suite of eight cameras and powerful neural networks to interpret the environment, arguing this method is more scalable and analogous to human driving. Context: These different technologies reflect distinct business strategies. Waymo focuses on Level 4 autonomous ride-hailing within specific, pre-mapped geographic areas (geofencing). Tesla's system is sold to consumers as a Level 2 driver-assist feature, designed to operate more broadly but requiring constant driver supervision.”