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I had read this as Bots slamming into buildings, and was looking for a discussion of lidar and stereo vision systems. But won't lidar have the same issue, with
by Isamu 9y ago
I had read this as Bots slamming into buildings, and was looking for a discussion of lidar and stereo vision systems.
But won't lidar have the same issue, with a clean glass surface? Similar with stereo vision - if there are no features at the surface to correlate.
- emeijer 9y agoVision based on visible light doesn't suffer from the problem in the same way as echolocation or lidar, since it is not dependant on observing signals emitted by the observer. I guess very smooth surfaces might act as mirrors, which will probably bring it's own set of difficulties for machines. Anecdotally, I can say my own stereo vision doesn't have big difficulties with most smooth surfaces though :)
- bighi 9y agoBut bats also use vision based on visible light. I haven't read the article yet, but do they explain about why the bat wouldn't see the building with its eyes?
- marcosdumay 9y agoI know I have slammed into transparent surfaces because I couldn't see them. It probably gets worse the higher you go, because there is less grassy people adding marks to them, and less "people are hitting this too much, we'd better reduce that glass size". Birds are famous for getting them wrong.
- robotresearcher 9y agoYes, lidar bounces off surfaces at shallow angles to give false readings. Also, the long wavelength of IR means that lots of flattish surfaces are good mirrors. In mobile robotics, glass panelled corridors are perceived very badly.[1] Passive depth from stereo usually has big holes where no features are detected[2]. That's why Kinect and the like project their own IR texture into the scene. Outdoors ambient IR overwhelms the projection unless you use powerful lasers. The upshot of this is that robots are vulnerable to banging into stuff, like bats. [1] I don't know for sure but it's likely that the right hand side of this map I found online has glass walls causing bad range data: https://i.pinimg.com/originals/e0/87/04/e08704b6dc925b575c2f1fe15e92be84.jpg https://i.pinimg.com/originals/e0/87/04/e08704b6dc925b575c2f... [2] If it doesn't, it's because the holes have been filled by interpolation - guessing what is there rather than observing it directly.