A Map Generation Method for Automated Guided Vehicle (AGV)
This paper develops a map generation method for AGVS by integrating multiple observation results considering the uncertainties in observation and motion. The map is incrementally generated by integrating each observation result into the latest map. Since the robot movement includes uncertainty, the AGV position is estimated before integration by matching the latest map and the new observation. Experiment results show that the map generation method can generate map for AGVS efficiently and precisely.
AGV map generation stereo vision
Zhang Zheng Wang Zhe Chen Chao
School of Information & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070 School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200030
国际会议
武汉
英文
1356-1360
2005-09-23（万方平台首次上网日期，不代表论文的发表时间）