Robust Range Estimation with a Monocular Camera for Vision-Based Forward Collision Warning System
Joint Authors
Hwang, Sun-Young
Park, Ki-Yeong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We propose a range estimation method for vision-based forward collision warning systems with a monocular camera.
To solve the problem of variation of camera pitch angle due to vehicle motion and road inclination, the proposed method estimates virtual horizon from size and position of vehicles in captured image at run-time.
The proposed method provides robust results even when road inclination varies continuously on hilly roads or lane markings are not seen on crowded roads.
For experiments, a vision-based forward collision warning system has been implemented and the proposed method is evaluated with video clips recorded in highway and urban traffic environments.
Virtual horizons estimated by the proposed method are compared with horizons manually identified, and estimated ranges are compared with measured ranges.
Experimental results confirm that the proposed method provides robust results both in highway and in urban traffic environments.
American Psychological Association (APA)
Park, Ki-Yeong& Hwang, Sun-Young. 2014. Robust Range Estimation with a Monocular Camera for Vision-Based Forward Collision Warning System. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051618
Modern Language Association (MLA)
Park, Ki-Yeong& Hwang, Sun-Young. Robust Range Estimation with a Monocular Camera for Vision-Based Forward Collision Warning System. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051618
American Medical Association (AMA)
Park, Ki-Yeong& Hwang, Sun-Young. Robust Range Estimation with a Monocular Camera for Vision-Based Forward Collision Warning System. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051618
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051618