JOURNAL ARTICLE

Vision-Based Lane Marking Detection and Moving Vehicle Detection

Abstract

Due to the fast augment of vehicles, traffic accidents become more and more frequent. People's safety is threatened seriously. Vision-based lane marking detection and moving vehicle detection are of great importance to the driving safety. In this paper, we propose a constraint between Sobel operator and Shen Jun edge operator to detect the lane marking points. In order to detect vehicle, we present a new vehicle detect algorithm which uses the shadow under the vehicle and the vertical edge to detect the candidate vehicles. Then SVM+HOG is used to verify them.

Keywords:
Sobel operator Computer science Shadow (psychology) Computer vision Artificial intelligence Object detection Edge detection Enhanced Data Rates for GSM Evolution Support vector machine Constraint (computer-aided design) Operator (biology) Image (mathematics) Pattern recognition (psychology) Image processing Engineering

Metrics

5
Cited By
0.96
FWCI (Field Weighted Citation Impact)
12
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Autonomous Vehicle Technology and Safety
Physical Sciences →  Engineering →  Automotive Engineering
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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