DocumentCode :
2013743
Title :
Dynamic motion planning for autonomous vehicle in unknown environments
Author :
Zhao, Pan ; Chen, Jiajia ; Mei, Tao ; Liang, Huawei
Author_Institution :
Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
284
Lastpage :
289
Abstract :
A dynamic motion planning approach for an autonomous vehicle navigated without GPS and unmanned driven in unknown environments is presented. The unknown environments bring several technology challenges, including high-speed operation, complex interaction with environment, parking in unstructured lots, and passing dynamic obstacles. In this approach, we combine the global path planning and the local path planning with a hierarchical structure. The exploration method to navigate in unknown environments is described in detail. An autonomous vehicle, Intelligent Pioneer, was developed to verify the dynamic motion planning approach. The Intelligent Pioneer showed good performances in dynamic motion planning and won the first prize of the 2010 Future Challenge of Intelligent Vehicles in China.
Keywords :
automated highways; collision avoidance; mobile robots; remotely operated vehicles; autonomous vehicle; complex interaction; dynamic motion planning; dynamic obstacles; global path planning; high-speed operation; intelligent pioneer; local path planning; parking; unknown environments; unmanned vehicles; unstructured lots; Mobile robots; Path planning; Planning; Real time systems; Roads; Sensors; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2011 IEEE
Conference_Location :
Baden-Baden
ISSN :
1931-0587
Print_ISBN :
978-1-4577-0890-9
Type :
conf
DOI :
10.1109/IVS.2011.5940506
Filename :
5940506
Link To Document :
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