Arid
Road following in an unstructured desert environment based on the EM(expectation-maximization) algorithm
Lee, Jaesang; Crane, Carl D., III
通讯作者Lee, Jaesang
会议名称SICE-ICASE International Joint Conference
会议日期OCT 18-21, 2006
会议地点Busan, SOUTH KOREA
英文摘要

This paper describes the development and performance of a vision system, named PFSS (Path Finder Smart Sensor) for autonomous navigation of an unmanned ground vehicle. A monocular camera and vision processing algorithms were used as the sensor system to identify traversable terrain. Unlike the Bayesian based method which was used by Team CIMAR in the 2005 DARPA Grand Challenge, the expectation-maximization (EM) algorithm is applied. The implementation and performance of this approach are reported here.


英文关键词autonomous vehicle navigation vision system expectation-maximization (EM) algorithm image segmentation
来源出版物2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13
出版年2006
页码575-+
ISBN978-89-950038-4-8
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:000246237600115
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Robotics
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering ; Robotics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/295785
作者单位Univ Florida, Ctr Intelligent Machines & Robot, Gainesville, FL 32611 USA
推荐引用方式
GB/T 7714
Lee, Jaesang,Crane, Carl D., III. Road following in an unstructured desert environment based on the EM(expectation-maximization) algorithm[C]:IEEE,2006:575-+.
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