A New Algorithm of Path Planning Based on Dynamic Window Approach
Xianzhao Zhu, Dejun Yin, Jiwu Tang · 2022
Path planning for dynamic obstacles is an important issue faced by unmanned aerial vehicles. This paper proposes an new dynamic window approach. By improving the evaluation function and combining it with the prediction method of dynamic obstacles, the ameliorated dynamic window approach can make the robot avoid the dynamic obstacles moving at high speed. In addition, the algorithm is simulated and verified in this paper. Lastly the results prove its performance, and compared with the original dynamic window method, it has a good improvement in all aspects.