中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-time road detection and description for robot navigation in an unstructured campus environment

文献类型:会议论文

作者Xu, Wenhao; Zhuang Y(庄严); Hu, Huosheng; Zhao YW(赵忆文)
出版日期2014
会议名称11th World Congress on Intelligent Control and Automation (WCICA 2014)
会议日期June 29 - July 4, 2014
会议地点Shenyang, China
关键词road detection unstructured road describing laser-vision data fusion RANSAC spline fitting field robotics
页码928-933
中文摘要This paper investigates real-time road detection for an unmanned ground vehicle (UGV) to navigate in a campus environment. A novel vision system with two monocular cameras at different heights and angles is utilized to accomplish both road region detection and direction estimation tasks simultaneously. An Adaboost-based classifier is used in the road region detection in order to handle the road surface's diversity, and a vanishing point tracking technique is used to estimate the road direction. To describe the unstructured road spaces with an accurate model, a RANSAC Spline Fitting algorithm is adopted to delineate the road borders based on the data fusion results from vision and lasers. Extensive experiments are carried out by using a real UGV platform in a campus environment and results show the feasibility and performance of the proposed approach.
收录类别EI
产权排序3
会议录Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4799-5825-2
源URL[http://ir.sia.cn/handle/173321/16932]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Xu, Wenhao,Zhuang Y,Hu, Huosheng,et al. Real-time road detection and description for robot navigation in an unstructured campus environment[C]. 见:11th World Congress on Intelligent Control and Automation (WCICA 2014). Shenyang, China. June 29 - July 4, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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