Multilane detection and tracking based on binocular vision stixel world estimation and IPM

Jing Li, Junzheng Wang, Guangtao Cui

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Road detection is the basic component of many intelligent vehicle systems. In this paper, a robust multi-lane detection method based on binocular vision is proposed. First, a fast estimation technique of the Stixel World, which is the outside environment representation of stereo-vision, is developed. Taking advantage of the estimate for free space under the plane road hypothesis, the proposed method is robust against on-road obstacles when detecting lane markings. Then, the bird-view of the transitable area is obtained through Inverse Perspective Mapping (IPM) Transform; Steerable filter, parallel parabolas modal and RANdom SAmple Consensus (RANSAC) technique are introduced for multi-lane fitting. Experimental results in real urban driving situations indicate that our algorithm is robust under various conditions.

源语言英语
主期刊名Proceedings of the 38th Chinese Control Conference, CCC 2019
编辑Minyue Fu, Jian Sun
出版商IEEE Computer Society
4602-4607
页数6
ISBN(电子版)9789881563972
DOI
出版状态已出版 - 7月 2019
活动38th Chinese Control Conference, CCC 2019 - Guangzhou, 中国
期限: 27 7月 201930 7月 2019

出版系列

姓名Chinese Control Conference, CCC
2019-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议38th Chinese Control Conference, CCC 2019
国家/地区中国
Guangzhou
时期27/07/1930/07/19

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