Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China

Guangming Xiong; Peiyun Zhou; Shengyan Zhou; Xijun Zhao; Haojie Zhang; Jianwei Gong; Huiyan Chen

doi:10.1109/IVS.2010.5548147

Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China

Guangming Xiong^*, Peiyun Zhou, Shengyan Zhou, Xijun Zhao, Haojie Zhang, Jianwei Gong, Huiyan Chen

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

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.

Original language	English
Title of host publication	2010 IEEE Intelligent Vehicles Symposium, IV 2010
Pages	1049-1053
Number of pages	5
DOIs	https://doi.org/10.1109/IVS.2010.5548147
Publication status	Published - 2010
Event	2010 IEEE Intelligent Vehicles Symposium, IV 2010 - La Jolla, CA, United States Duration: 21 Jun 2010 → 24 Jun 2010

Publication series

Name	IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference	2010 IEEE Intelligent Vehicles Symposium, IV 2010
Country/Territory	United States
City	La Jolla, CA
Period	21/06/10 → 24/06/10

Access to Document

10.1109/IVS.2010.5548147

Cite this

Xiong, G., Zhou, P., Zhou, S., Zhao, X., Zhang, H., Gong, J., & Chen, H. (2010). Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China. In 2010 IEEE Intelligent Vehicles Symposium, IV 2010 (pp. 1049-1053). Article 5548147 (IEEE Intelligent Vehicles Symposium, Proceedings). https://doi.org/10.1109/IVS.2010.5548147

@inproceedings{8bfa7be03db74835b13698294f95d369,

title = "Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China",

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.",

author = "Guangming Xiong and Peiyun Zhou and Shengyan Zhou and Xijun Zhao and Haojie Zhang and Jianwei Gong and Huiyan Chen",

year = "2010",

doi = "10.1109/IVS.2010.5548147",

language = "English",

isbn = "9781424478668",

series = "IEEE Intelligent Vehicles Symposium, Proceedings",

pages = "1049--1053",

booktitle = "2010 IEEE Intelligent Vehicles Symposium, IV 2010",

note = "2010 IEEE Intelligent Vehicles Symposium, IV 2010 ; Conference date: 21-06-2010 Through 24-06-2010",

}

Xiong, G, Zhou, P, Zhou, S, Zhao, X, Zhang, H, Gong, J & Chen, H 2010, Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China. in 2010 IEEE Intelligent Vehicles Symposium, IV 2010., 5548147, IEEE Intelligent Vehicles Symposium, Proceedings, pp. 1049-1053, 2010 IEEE Intelligent Vehicles Symposium, IV 2010, La Jolla, CA, United States, 21/06/10. https://doi.org/10.1109/IVS.2010.5548147

Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China. / Xiong, Guangming; Zhou, Peiyun; Zhou, Shengyan et al.
2010 IEEE Intelligent Vehicles Symposium, IV 2010. 2010. p. 1049-1053 5548147 (IEEE Intelligent Vehicles Symposium, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China

AU - Xiong, Guangming

AU - Zhou, Peiyun

AU - Zhou, Shengyan

AU - Zhao, Xijun

AU - Zhang, Haojie

AU - Gong, Jianwei

AU - Chen, Huiyan

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77956528535&partnerID=8YFLogxK

U2 - 10.1109/IVS.2010.5548147

DO - 10.1109/IVS.2010.5548147

M3 - Conference contribution

AN - SCOPUS:77956528535

SN - 9781424478668

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 1049

EP - 1053

BT - 2010 IEEE Intelligent Vehicles Symposium, IV 2010

T2 - 2010 IEEE Intelligent Vehicles Symposium, IV 2010

Y2 - 21 June 2010 through 24 June 2010

ER -

Autonomous driving of intelligent vehicle BIT in 2009 future challenge of China

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this