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0 pointszellyn1y ago0 comments

The whole thing is largely probabilistic in many ways/parts, and it seems like more sensors, especially more sensors that operate in different modalities, is better, assuming your sensor fusion is working properly so that each additional sensor adds certainty to your predictions.

There are atmospheric conditions and obstructions that lidar can see through that cameras can't.

Cameras also seem prone to being blocked by a small splash of mud/dirt. Is anyone on this thread knowledgeable enough in the domain to know if that's an issue? I thought of it while moving my head sideways to see around a temporary sight obstruction on my windshield. Luckily the windshield is big, and I can move my head. Cameras are small. I guess you just put several so you have an effectively large camera array? It does mean more redundancy is necessary than I would have initially thought.

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rcxdude1y ago

Camera obstructions are big problem, yes. A combination of hardware fixes (making it less likely for obstructions to happen in the first place), redundancy, and detection of the issue coupled with an escape plan, is the general approach to fixing it. (the escape plan is a big one: a lot of effort goes into making sure the car can stop/pull over safely if something goes wrong)

zellynOP1y ago

Thanks! That all makes perfect sense…

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0 pointszellyn1y ago0 comments

There are atmospheric conditions and obstructions that lidar can see through that cameras can't.

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rcxdude1y ago

zellynOP1y ago

Thanks! That all makes perfect sense…

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