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Content Provider | IEEE Xplore Digital Library |
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Author | Zhou Junjing Duan Jianmin Yu Hongxiao |
Copyright Year | 2012 |
Description | Author affiliation: College of Electronic Information and Control Engineering, Beijing University of Technology, 100124, China (Zhou Junjing; Duan Jianmin; Yu Hongxiao) |
Abstract | Onboard vehicle detection system is of great importance to reduce vehicle collision accident and increase the driving safety on road. It aims at detecting vehicles appearing around the ego vehicle using vehicle-mounted camera, so as to alert the driver about driving environments and possible collision with other vehicles. In this paper, we analyze the detail difficulties lying in the problem and review most of the literatures. A typical vehicle detection algorithm includes two steps: hypothesis generation and hypothesis verification. After a vehicle is detected, it's tracked. This paper introduces the principle of typical methods of detection and tracking and analyzes their respective pros and cons. Finally, we propose some research directions in the future. |
Starting Page | 4617 |
Ending Page | 4622 |
File Size | 114039 |
Page Count | 6 |
File Format | |
ISBN | 9781467313971 |
e-ISBN | 9781467313988 |
DOI | 10.1109/WCICA.2012.6359354 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Vehicles Vehicle detection Feature extraction Image edge detection Roads Intelligent vehicles Stereo vision vehicle tracking Intelligent vehicle machine vision vehicle detection |
Content Type | Text |
Resource Type | Article |
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