3 ms·

Or you give it an infinite uncertainty,in most sensor fusion algorithms it would result in zero weight given to that sensor in the fused observation

• CamperBob2 3y ago
  And that leads to another good point: it's easier to predict which sensor is trustworthy if you have more than one type. Is it dark? Trust the lidar more. Raining? Trust the radar more. There is at least a rudimentary radar to sanity-check the optical sensors, right? I can almost see the objection that multiple cameras are as good as one camera+lidar, but I think it's a mistake to trust any system that can't check itself for consistency across multiple bands. It doesn't take a very good radar to keep you from ramming a fire truck. In fact, whatever runs the cruise control's distance sensor should have been enough to prevent a bunch of the Tesla oopsies reported in the press. When tackling one of the hardest engineering problems faced by humankind, it seems stupid not to take advantage of all the data you can get.
  • bafe 3y ago
    You are right. There are several reasons for why you want to fuse (different) sensors: - reduce uncertainty - estimate biases and systematic errors. As you said, different sensors are affected by environmental conditions differently, so it's only reasonable to use all the information instead of only rely on one measurement method