Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (12): 2602-2613.doi: 10.16182/j.issn1004731x.joss.22-0873

• Papers • Previous Articles     Next Articles

Application of Improved Path Tracking Algorithm in Robot SLAM

Li Qian(), Tao Ye(), Li Hui   

  1. School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
  • Received:2022-07-29 Revised:2022-09-26 Online:2023-12-15 Published:2023-12-12
  • Contact: Tao Ye E-mail:1786234631@qq.com;ye.tao@qust.edu.cn

Abstract:

Mapping is an important part of automated logistics. At present, SLAM is widely used. However, in large-scale scenes, errors are accumulated because robots often repeatedly measure and scan the region edge, which makes it impossible to quickly build a high-precision and complete map. An autonomous mapping method based on auxiliary path tracking is proposed, in which the given initial sketch is grid denoised and the auxiliary path is fitted and improved by multi segment cubic polynomial. The improved pure pursuit algorithm is used to guide the robot to build the map and improve the total distance and time of slam mapping process. Experiments in simulation and real scenes show that, compared with the existing V-SLAM and QRCode-SLAM methods, the algorithm improves the map integrity, accuracy and efficiency and provides a visual two-way interactive way for fast and efficient map construction.

Key words: SLAM, high precision complete map, denoising, auxiliary path, map construction, interaction

CLC Number: