Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/ICIP.2006.313004 |
Detection of drivable corridors for off-road autonomous navigation | |
Nefian, Ara V.; Bradski, Gary R. | |
通讯作者 | Nefian, Ara V. |
会议名称 | IEEE International Conference on Image Processing (ICIP 2006) |
会议日期 | OCT 08-11, 2006 |
会议地点 | Atlanta, GA |
英文摘要 | This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hidden Markov model the Bayesian network presented in this paper can successfully account for natural dependencies between neighboring pixels in both image dimensions making it more suitable for a larger class of images. The method described here was developed within the Stanford racing team that won the DARPA Grand Challenge 2005 after driving over 130 miles autonomously in the Nevada desert. |
英文关键词 | mobile robot motion-planning image segmentation hidden Markov models |
来源出版物 | 2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS |
ISSN | 1522-4880 |
出版年 | 2006 |
页码 | 3025-+ |
ISBN | 978-1-4244-0481-0 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | USA |
收录类别 | CPCI-S |
WOS记录号 | WOS:000245768501375 |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Software Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS研究方向 | Computer Science ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/295754 |
作者单位 | Intel Corp, Applicat Res Lab, Santa Clara, CA 95051 USA |
推荐引用方式 GB/T 7714 | Nefian, Ara V.,Bradski, Gary R.. Detection of drivable corridors for off-road autonomous navigation[C]:IEEE,2006:3025-+. |
条目包含的文件 | 条目无相关文件。 |
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