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While this is great and serves as a good starter for those looking to get a basic understanding of computer vision. I'm not so sure if thats what real self-dri
by infinitone 10y ago
While this is great and serves as a good starter for those looking to get a basic understanding of computer vision.
I'm not so sure if thats what real self-driving cars use. It seems too basic to apply a Canny-Edge detector which is taught in 3rd/4th year comp vision classes. I'm skeptical but also not very knowledgeable about the tech that goes into self driving cars- so if anyone with real experience can inform would be great.
I've written a survey paper about various edge detection algorithms and while Canny is one of the better ones, it still leaves a lot to be desired.
- mikeash 10y agoMy layman's understanding is that it's mostly deep learning these days (what a surprise, I'm sure). For example, this article says that deep learning is behind most of Mobileye's computer vision stuff: http://www.computervisionblog.com/2015/03/mobileyes-quest-to-put-deep-learning.html http://www.computervisionblog.com/2015/03/mobileyes-quest-to... (They're the ones who did Tesla's original Autopilot hardware, although not the new stuff they just started shipping.)
- kevin_thibedeau 10y agoThe one that thinks a trailer in the middle of a road is just a billboard. Safe to proceed.
- photogrammetry 10y agoRIP MBLY. Greed got the best of them.
- DonaldFisk 10y agoI don't see anything wrong with using those techniques. They're just not enough on their own to make the system sufficiently general to be useful. Extra steps are needed, and even then, there would still be cases where the lane markings can't be reliably made out. In those cases, human drivers would fall back on more general driving skills.
- bpicolo 10y agoYeah, there are plenty of two-lane roads (one- and two-way) in the real world without markings
- sirishkumar 10y agoCan you share the link to your survey paper?