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I don't entirely understand why with this image though. While just a camera, looking just at the picture of the cyclist experience some perception issues due t
by smileysteve 9y ago
I don't entirely understand why with this image though.
While just a camera, looking just at the picture of the cyclist experience some perception issues due to skewing, the camera still sees the distance between the front bumper and the bicycle, but also sees the breadth of the car.
If, in this image, we see 3 bicyclists and a car in front of us, what's the worst decision we can make? To only pass the bicyclists at that car's width? To wait until we can safely pass? To treat it like a bicycle race with a support vehicle and wait to pass until we can pass the entire group?
- jsmthrowaway 9y agoI’d imagine the software would predict slower speed from bicycles and react accordingly, potentially backing off more than it would a car. Which might not be a bad thing, depending on how much is prediction versus reaction in these setups. That it’s a different color recognition says something, and it might be that. Hard to say
- IanCal 9y agoWhat if the car thinks a person is very close in front? Will it suddenly brake? It won't be expecting a person to move in the same way as a car.
- yk 9y agoWe are already in a failure state, the camera did detect a cyclist that is not a cyclist. At this point motion detection will do something, but since the back of the car transforms differently than a real cyclist, this something is at best right by random chance. The worst decision it can make is, that the cyclists are speeding away from the autonomous car and it can therefore accelerate.
- icebraining 9y agoBut since the car itself was detected, the autonomous one couldn't accelerate even if it thought the cyclist was far.
- studentrob 9y agoThis is a failed state because the system has detected objects that are not present. We can't know how the system will react in a failed state because engineers will not have prepared for such an eventuality (ignoring negligence).
- Djvacto 9y agoI think the image is just meant to showcase that one sensor can be confused by edge cases. It's a good image that shows unintended interpretation of data. There are likely many other edges cases that are not as clear why a car will misinterpret them, which is why they went with this image.
- studentrob 9y agoYeah. Once seen, engineers could correct for this kind of situation. The point is there are many such unseen sitauations that current systems don't handle, and that diversifying the sensor array can help handle those.