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- Title
Improved Vehicle Detection Algorithm in Heavy Traffic for Intelligent Vehicle.
- Authors
Chung-Hee Lee; Young-Chul Lim; Dongyoung Kim; Kyu-Ik Sohng
- Abstract
Despite significant progress in vehicle detection over the last few decades, vehicle detection performance in heavy traffic is still inadequate. In this paper, we propose a new algorithm for vehicle detection in heavy traffic to improve detection performance. It uses two proposed segmentation methods, namely, the disparity map-based bird's-eye-view mapping segmentation method and the edge distance weighted conditional random field (CRF)-based segmentation method. Our experimental results show that the proposed algorithm outperforms conventional algorithms. The improvements in performance range from 10.8 % to 20.5 % increase in F-measure.
- Subjects
INTELLIGENT transportation systems; ALGORITHMS; RANDOM fields; TRAFFIC engineering; IMAGE segmentation; STEREO image processing; OBJECT recognition (Computer vision)
- Publication
Electronics & Electrical Engineering, 2014, Vol 20, Issue 9, p54
- ISSN
1392-1215
- Publication type
Article
- DOI
10.5755/j01.eee.20.9.3734