You are right. There are several reasons for why you want to fuse (different) sensors: - reduce uncertainty - estimate biases and systematic errors. As you sai

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