An Improved Dynamic Window Approach Integrated Global Path Planning

Abstract

Aiming at the shortcomings of dynamic windowing algorithm (DWA) into local optimal solution. This work studys a modified DWA algorithm integrated global path planning. By introducing the result of global path planning as a reference trajectory, a novel evaluation function is designed which makes the optimal trajectory be guaranteed. In addition, the work also proposes the evaluation sub-function of direction, the evaluation sub-function of smoothing speed and the evaluation sub-function of acceleration, separately, ensures the direction, smoothness and speed of movement. The algorithm is verified in mobile robot, experimental results show that the algorithm optimizes the path of mobile robot, simultaneously, the advantages of the traditional DWA, such as the practicability and continuity of motion are retained.