He is basically just saying that the errors need to be independent, so you can get that with different capture mechanisms. I think that is wrong. For example, s

He is basically just saying that the errors need to be independent, so you can get that with different capture mechanisms. I think that is wrong. For example, small, fast and poorly reflective will have similar detection performance for lidar and cameras. I think that the real problem is getting consistent statistical estimators and fusing them at a useful update rate. Has anyone seen the lidar from the uber crash? It would be interesting to see if a person could "tell" that the poor pedestrian wasn't an artifact quickly from lidar alone.