- cross-posted to:
- technology@lemmy.world
- cross-posted to:
- technology@lemmy.world
The probe hones in on one of Tesla’s most eyebrow-raising decisions when it comes to its driver assistance package: the insistence on exclusively relying on camera sensors instead of LiDAR and radar like its competitors, which CEO Elon Musk has long derided as a “crutch.”
In 2022, the company went all-in on cameras, ditching ultrasonic sensors in its vehicles altogether — a decision that could prove to be a major mistake as it struggles to catch up with its competition and has now promised robust self-driving capabilities to owners who may lack the necessary sensor hardware.
No, not really true.
The way AI systems have been implemented in cars produces a flat image which we run through some fancy AI and the arrive at a conclusion. But what if 1 camera sees a child and for whatever reason, the other sees a clear road? The AI is not trained to process vision the way we do, where we use all our various senses including the conflicting info we get from each eye to arrive at a conclusion. It just does a merge and then process. It should process from each sensor, then reprocess to arrive at a conclusion