DocumentCode
670461
Title
Motion planning by adding geometric constraint of roadside to beam curvature method
Author
Shi Chaoxia ; Liu Tianheng ; Tang Zhemin
Author_Institution
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear
2013
fDate
26-29 May 2013
Firstpage
390
Lastpage
395
Abstract
Motion planning is a fundamental research field in autonomous navigation for intelligent vehicle. In order to realize stable and comfortable driving like human driver does, we present a novel motion planning method based on the compound grid and geometry representation of unstructured road environment. By adding geometric constraint of roadside as well as the hidden traffic rules to the improved beam curvature method, the proposed method not only inherited the performance of sensitivity to obstacle avoidance, but also can realize quick, smooth and stable and comfortable driving in unstructured environments.
Keywords
collision avoidance; intelligent robots; mobile robots; motion control; road vehicles; autonomous navigation; beam curvature method; compound grid; geometric constraint; geometry representation; hidden traffic rules; intelligent vehicle; motion planning; obstacle avoidance; roadside; unstructured road environment; Automation; Conferences; Control systems; Decision support systems; Intelligent vehicles; Navigation; Planning; Autonomous navigation; Intelligent vehicle; Motion planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber Technology in Automation, Control and Intelligent Systems (CYBER), 2013 IEEE 3rd Annual International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4799-0610-9
Type
conf
DOI
10.1109/CYBER.2013.6705477
Filename
6705477
Link To Document