this post was submitted on 16 Mar 2025
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All these years, I always thought all self driving cars used LiDAR or something to see in 3D/through fog. How was this allowed on the roads for so long?
They originally the model S had front facing radar and ultrasonic sensors all round, the car combined the information to corroborate it's visual interpretation.
According to reports years ago the radar saved Tesla's from multiple pileups when it detected crashes multiple cars ahead (that the driver couldn't see).
Elmo in his infinite ego demanded both the radar and ultrasonics be removed, since he could drive with out that input so the car should be able to.. also it is cheaper.
I'd be very curious to know how much cheaper it is. Sure, there's R&D to integrate that with everything, but that cost is split across all units sold. It feels like the actual sensors, at this scale, can't add a significant amount to the final price.
I think it's all about the timeline. Tesla gambled on cameras before AI models became usable (the company most certainly committed itself to the camera sensors a few years before it became public). By the time automated driving models became usable, Tesla had tons of camera data to capitalize on, but presumably not the corresponding radar data (or not in a consistent manner), so rebuilding a multi-sensor dataset for AI training was probably not very appealing in terms of cost and time to market.