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A navigation map building algorithm using refined RBPF-SLAM

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposes a map building algorithm for navigation task of autonomous vehicle. A local 2D grid map is designed to convey three types of information (free space, obstacle and unknown). A refined RBPF-SLAM algorithm is established to build a large scale, accurate navigation map. Moving obstacle information is excluded in the final map, which provides better performance in vehicle's online localization. Two sets of experiments are carried out in two driving conditions, with one in urban traffic environment and the other in unstructured environment. The mapping and localization result testify the effectiveness of our algorithm.

源语言英语
主期刊名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
出版商Institute of Electrical and Electronics Engineers Inc.
2483-2487
页数5
ISBN(电子版)9781467383189
DOI
出版状态已出版 - 20 1月 2017
活动7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, 中国
期限: 12 8月 201614 8月 2016

丛书

姓名CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

会议

会议7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
国家/地区中国
Nanjing, Jiangsu
时期12/08/1614/08/16

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