False impression and common. We don't need to guess here. There was an engineer talk at the Computer Vision and Pattern Matching conference in 2021 in the Works

False impression and common. We don't need to guess here. There was an engineer talk at the Computer Vision and Pattern Matching conference in 2021 in the Workshop on Autonomous Driving by Andrej Karpathy senior director of AI at Tesla. In the latter portions of the talk he dives deep into why they choose to go all in on video with compelling empirical results showing it to be far more accurate than vision + radar. https://news.ycombinator.com/item?id=31414374 https://news.ycombinator.com/item?id=31414374 They do end up doing sensor fusion, but not when you would think. At training time they use radar still, because at training time you can do things to correct for radars errors, for example, you can use hindsight to reason about what happened. At inference time, the uncertainty of hallucinating radars is a real risk to safety. It says things aren't there when they are. It says things are there when they aren't. That makes it a lot harder for the car to plan out the next actions and promotes very dangerous action - like slamming on the brakes - which can surprise other drivers and cause accidents.