DocumentCode :
3530106
Title :
Autonomous driving of intelligent vehicle BIT in 2009 Future Challenge of China
Author :
Xiong, Guangming ; Zhou, Peiyun ; Zhou, Shengyan ; Zhao, Xijun ; Zhang, Haojie ; Gong, Jianwei ; Chen, Huiyan
Author_Institution :
Intell. Vehicle Res. Center, Beijing Inst. of Technol., Beijing, China
fYear :
2010
fDate :
21-24 June 2010
Firstpage :
1049
Lastpage :
1053
Abstract :
The 2009 Future Challenge - Intelligent Vehicle and Beyond (FC´09) was held in Xi´an, China. Our intelligent vehicle named BIT participated in all competitions at this event. This paper describes BIT´s system structure and its capabilities. BIT combines a global path planning method and local path planning to drive the vehicle to address the challenges posted by the unknown competition environment. A novel curve tracking strategy based on preview and curve bisector is developed for complex paths such as U-turn. For recognizing traffic lights, Haar feature and AdaBoost algorithm are used to train and obtain traffic light classifiers. Normalization of every candidate region in RGB and HSV spaces is performed and compared with a threshold to fulfill the verification. The experiment describes BIT´s performance and the conclusion sets forth the main work in the next step.
Keywords :
Haar transforms; automatic guided vehicles; formal verification; learning (artificial intelligence); path planning; pattern classification; road vehicles; tracking; traffic engineering computing; AdaBoost algorithm; BIT system structure; China; HSV space; Haar feature; RGB space; autonomous driving; complex path; curve bisector; curve tracking strategy; intelligent vehicle; path planning method; traffic lights recognition; Cameras; Decision making; Global Positioning System; Intelligent vehicles; Laser radar; Mobile robots; Navigation; Path planning; Remotely operated vehicles; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2010 IEEE
Conference_Location :
San Diego, CA
ISSN :
1931-0587
Print_ISBN :
978-1-4244-7866-8
Type :
conf
DOI :
10.1109/IVS.2010.5548147
Filename :
5548147
Link To Document :
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