Motion planning in unstructured road for intelligent vehicle with long-range perception

Chaoxia Shi; Yanqing Wang; Jingyu Yang; Hanxiang Liu

doi:10.1117/12.910666

28 October 2011 Motion planning in unstructured road for intelligent vehicle with long-range perception

Chaoxia Shi, Yanqing Wang, Jingyu Yang, Hanxiang Liu

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82050A (2011) https://doi.org/10.1117/12.910666
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

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.

Citation Download Citation

Chaoxia Shi, Yanqing Wang, Jingyu Yang, and Hanxiang Liu "Motion planning in unstructured road for intelligent vehicle with long-range perception", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82050A (28 October 2011); https://doi.org/10.1117/12.910666

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available