3 ms·
Radar is extremely tricky, it's hard to get raw data out of automotive grade modules and they give really odd processed results outside of a road environment.
by moffkalast 2y ago
Radar is extremely tricky, it's hard to get raw data out of automotive grade modules and they give really odd processed results outside of a road environment.
An Oak-D long range stereo camera has an 8% error at 300m though. Could also use a 1D lidar.
- dr_kiszonka 2y agoI am curious about your 1D lidar siggestion. Would you use it to detect changes in position that approximate the result of human gait?
- moffkalast 2y agoWell you have the direction vector towards the detected person from yolo right? Sampling that direction with a range finder shouldn't be impossible with a decent pan tilt. Might be a problem if they're moving fast I suppose, depending on the distance. A solid state lidar with beam steering would be better, but those are still rather expensive.
- KaiserPro 2y agoyeah they are tuned to give auto based stuff, so great for anti car-truck (kinda) The hard part is the sensor fusion, blending wide angle imprecise sensors with precise but narrow field of view sensors. I mean its possible to do in opensource (I'm doing it currently, and I don't really have a computer vision background) However I'm only using cameras, as radar is too far removed from my knowledge base to productive.