An Image Processing Technique for Tracking the Lead Vehicle's Translation While Following
Resource
國立臺灣大學工程學刊, 85, 125-130
Journal
國立臺灣大學工程學刊
Journal Issue
85
Pages
125-130
Date Issued
2002-06
Date
2002-06
Author(s)
Chang, Tang-Hsien
Chiu, Wei-Cheng
DOI
246246/2006121215551141
Abstract
The variables in automatic car following involve not only relative distance and relative velocity, but also the lateral translation between the follower and lead vehicle. This study measured the translation of the lead vehicle track using real-time image processing. A convolution computation pattern matching method was used to track the lead vehicle image. The match rate success of the proposed method reached 90%. The predicted lead vehicle image location will replace the observed data while and if a pattern match fails. This study concluded that, in predicting the central image location of lead vehicle image, the extrapolation method is more efficient than the other methods. Reducing the matching region is proposed in this study to save processing time. A region defined within ±3σ from a previous scan can save 7% of the processing time. The tracking translation data can be the basis for estimating the roadway curvature during following.
Subjects
Automatic car following
Image processing
Image matching
Translation tracking
Publisher
臺北市：國立臺灣大學工學院
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
1160018424973415652355.pdf
Size
23.46 KB
Format
Adobe PDF
Checksum
(MD5):e186574dbd5924ff0c009a2a4a72663b