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Proceedings Paper

Motion planning in unstructured road for intelligent vehicle with long-range perception
Author(s): Chaoxia Shi; Yanqing Wang; Jingyu Yang; Hanxiang Liu
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Paper Abstract

We present a novel motion planning method for intelligent vehicle with long-range perception under the uncertain constraints of unstructured road boundary on the basis of obstacle roadside fusion strategy and beam curvature method . Not only does this method inherit the advantages of reliability, smoothness and speediness from LCM, but also it can produce more reasonable path than traditional LCM does by virtue of the global information acquired by long-range sensors.

Paper Details

Date Published: 29 October 2011
PDF: 6 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82050A (29 October 2011); doi: 10.1117/12.910666
Show Author Affiliations
Chaoxia Shi, Nanjing Univ. of Science and Technology (China)
Yanqing Wang, Harbin Univ. of Science and Technology (China)
Jingyu Yang, Nanjing Univ. of Science and Technology (China)
Hanxiang Liu, Rizhao Senior Technical School (China)


Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization

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