Research and Implementation of Data Fusion in Obstacle Avoidance Control of Mobile Agent
Qingqing Wang, Meili Zhu · Journal of Physics Conference Series · 2022
In complex scenes, the information captured by agents is diverse. How to quickly fuse and analyze data is very important. This paper designs the structural model of mobile agent obstacle avoidance control, and uses the adaptive weighted fusion algorithm to fuse the collected data, so as to lay the foundation for the subsequent mobile agent obstacle avoidance. Finally, the adaptive weighted fusion algorithm used in this paper is compared with the fixed weight weighted fusion algorithm. The simulation results show that the algorithm has better ranging effect and higher accuracy.