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You're discussing "drivable area detection".

So far, most manufacturers cars have no problem with this. Maps and localisation are very very effective for it, and both camera and lidar based systems are pretty good at it. Nearly all players in the self driving world use a combination. Overall, it's pretty much a solved issue.

Object recognition, behaviour prediction, object interactions, etc. are the remaining unsolved issues, and that's why people talk about them more.



So far, most manufacturers cars have no problem with this.

Not Tesla.

Tesla hitting construction barricade.[1]

Tesla hitting freeway offramp divider.[2]

[1] https://www.youtube.com/watch?v=-2ml6sjk_8c

[2] https://www.theregister.co.uk/2018/06/07/tesla_crash_report/


Tesla is really reluctant to use maps, and I don't really understand why.

The excuse of "maps can't deal with changes" doesn't hold up. A map tells you 99.99% of the time the correct answer. Cameras tell you the right answer 99.9% of the time. A combination is better than both.




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