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Collision obstacle in dynamic environment based heuristic using sonar and optical flow sensors

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5 Author(s)
Sheng Fu ; Sch. of Automobile Eng., Harbin Inst. of Technol., Weihai ; Yu-Xian Gai ; Ting Yao ; Hui-ying Liu
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A method of real-time collision obstacle for autonomous mobile robots in local dynamic environment using multi-sensor data fusion is proposed. Due to the effectiveness of the optical flow sensors, the robot can acquire more accurate self-motion information. This paper also proposes an approach to complete enhancement based on the earlier vector field histogram algorithm (VFH), which is called VFH#. This paper improved a new heuristic function to the VFH# algorithm in particular. By using this way, robots can select a more appropriate steeling angle in local dynamic environments. The results of experiments with a Pioneer robot demonstrated that robot collision obstacle can be obtained using the proposed method.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008

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