A vehicle distance measurement based on binocular stereo vision. | [Journal of Theoretical and Applied Information Technology • 2012]

Author(s):

1. Zhibin Zhang: College of Computer Science, Inner Mongolia University

2. Shuangshuang Liu: College of Computer Science, Inner Mongolia University

3. Gang Xu: College of Computer Science, Inner Mongolia University

4. Juangjuang Wang: College of Computer Science, Inner Mongolia University

Abstract:

Distance detection is a crucial issue for driver assistance systems and it has to be performed with high reliability to avoid any potential collision with the front vehicle. The vision-based distance detection is regarded promising for this purpose because they require little infrastructure on a highway. In this paper, a distance detection algorithm using stereo vision sensors is developed, in which the license plate feature extraction and its center coordinate obtainment are utilized to match the corresponding pairs of the license plate. And then the 3-D reconstruction equation groups are used to obtain the position parameters of the front vehicle. The proposed distance detection algorithm is tested on a set of images taken in different distances and its performance is verified experimentally.

Page(s): 179-184

DOI: DOI not available

Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 44, Issue: 2, Year: 2012

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