4 ms·
Regarding how the LIDAR did not catch that, there are 4 possibilities I can think of: 1. A software bug failed to recognize the obstacles, or misclassified the
by manmal 9y ago
Regarding how the LIDAR did not catch that, there are 4 possibilities I can think of:
1. A software bug failed to recognize the obstacles, or misclassified them, or it fell below some probability threshold.
2. LIDAR didn’t work at the time, and the car did not shutdown.
3. The victim‘s clothing absorbs the LIDAR‘s wavelength pretty much completely, such that it appeared as a „black hole“ and was ignored by the algorithm since this occurs commonly. Unlikely though since the bike itself would surely have registered?
4. It’s hard to see on the video, but is the car going up a slope? In that case, if the LIDAR didn‘t look up far enough, it could have failed to see the victim for optical reasons.
- stormthebeach 9y ago4) That portion in particular is a slight down slope
- Piskvorrr 9y agoFor years, I've been told by AV technooptimists that these are all "never happens" scenarios. I have a feeling we have a Therac-class failure here.
- CabSauce 9y agoAnother option (related to your #1) could be disagreement between the visual field cameras and the LIDAR. Which could result in a lower confidence of an object being a pedestrian.