We’ve covered how Tesla’s approach to self-driving cars differs from Google’s. The former is incrementally introducing more advanced autonomous features to eventually get to full autonomy, while the latter thinks it is safer to make the jump to completely autonomous driving once the technology is at maturity.
The two companies also have different approaches to hardware. Google relies on LiDAR, while Tesla thinks it’s unnecessary and that a combination of cameras and radars should do the job. Only time will tell which strategy will turn out to be the most successful, but in the meantime, Tesla shared a rare data point that gives us some perspective on the two programs.