Panorama-Based Multilane Recognition for Advanced Navigation Map Generation
Joint Authors
Yang, Ming
Gu, Xiaolin
Lu, Hao
Wang, Chunxiang
Ye, Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-23
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Precise navigation map is crucial in many fields.
This paper proposes a panorama based method to detect and recognize lane markings and traffic signs on the road surface.
Firstly, to deal with the limited field of view and the occlusion problem, this paper designs a vision-based sensing system which consists of a surround view system and a panoramic system.
Secondly, in order to detect and identify traffic signs on the road surface, sliding window based detection method is proposed.
Template matching method and SVM (Support Vector Machine) are used to recognize the traffic signs.
Thirdly, to avoid the occlusion problem, this paper utilities vision based ego-motion estimation to detect and remove other vehicles.
As surround view images contain less dynamic information and gray scales, improved ICP (Iterative Closest Point) algorithm is introduced to ensure that the ego-motion parameters are consequently obtained.
For panoramic images, optical flow algorithm is used.
The results from the surround view system help to filter the optical flow and optimize the ego-motion parameters; other vehicles are detected by the optical flow feature.
Experimental results show that it can handle different kinds of lane markings and traffic signs well.
American Psychological Association (APA)
Yang, Ming& Gu, Xiaolin& Lu, Hao& Wang, Chunxiang& Ye, Lei. 2015. Panorama-Based Multilane Recognition for Advanced Navigation Map Generation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074550
Modern Language Association (MLA)
Yang, Ming…[et al.]. Panorama-Based Multilane Recognition for Advanced Navigation Map Generation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1074550
American Medical Association (AMA)
Yang, Ming& Gu, Xiaolin& Lu, Hao& Wang, Chunxiang& Ye, Lei. Panorama-Based Multilane Recognition for Advanced Navigation Map Generation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074550
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074550