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Comment by trhway | Hacker News Reader

>Apple put 5000 people on this project and failed.

not sure. These are still driving around their Sunnyvale campus:

https://www.macrumors.com/2017/08/25/apple-new-autonomous-dr...

Btw, one of the best sensor suites around (except for Google who seems to have reached kind of optimization stage where they started to remove the "extra" sensors). And Apple has highest number of self-driving permits in CA if i remember correctly. Though i don't see them in "disengagement reports" (https://www.dmv.ca.gov/portal/dmv/detail/vr/autonomous/disen... - interesting reading, Google's average human driver reaction time was 0.91s)

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I would be really interested in an Apple designed car, not exactly an Apple created self-driving tech suite. I trust Apple's design far more than I trust Apple's hard tech chops, especially when it comes to processing massive amounts of data

I wonder about the assumption in that MacRumors article that it's a self-driving car, given this article about Apple building their own Maps data set: https://techcrunch.com/2018/06/29/apple-is-rebuilding-maps-f...

Given that the MacRumors article says that the Lexus was parked, it might be a human-driven car for gathering maps data?

the quick way to tell between self-driving and mapping car sensor suites - density of the point cloud it collects, ie. type/number of sensors with the self-driving is unnecessary dense for mapping and their directionality - the self-driving is more forward looking as well as immediate vicinity of the car while the mapping is sideways and doesn't care about the immediate vicinity. I'd speculate that Apple, historically being weaker when it comes to [higher level] software, seems to have issues with building of dynamic scene perception from the big can Velodyne stream and are trying to solve it "hardware way" by structuring the perception data in more time/space consistent way inside limited sectors/planes.

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