How does sensor fusion improve robot navigation accuracy in dynamic environments?

20 Eki 15:00

I'm trying to understand the role of sensor fusion in modern robotics. Specifically, how combining data from LIDAR, cameras, and IMUs can lead to more reliable navigation when the environment is constantly changing. What are the main challenges in merging these sensor streams, and which algorithms are commonly used to handle inconsistencies? Also, does sensor fusion significantly reduce the need for high‑precision hardware? Would love to hear your thoughts and any resources you recommend.