Unmanned Ground Vehicle Autonomous Navigation in Unknown Indoor Environments
Mengjiao Xie, Song Chunlei, Jiahui Wang, Xiaohui Wu, Man Li, Jianhua Xu · 2023
Unmanned ground vehicle (UGV) autonomous navigation in unknown indoor environments is a challenging task. The simultaneous use of the Gmapping algorithm, D*Lite algorithm and timed elastic bands (TEB) algorithm is proposed to accomplish the task as indicated above. Compared to traditional methods of separating mapping and navigation, the above method can reduce exploration and planning time while increasing the navigation efficiency of the UGV. Additionally, the planned paths are safer, more real-time, and more precise. In order to access better map building results and more suitable paths, this paper has made improvements to the traditional Gmapping algorithm and the D*Lite algorithm. By using simulation and real vehicle experiments, we demonstrate the validity and timeliness of the complete method.