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Vision-Based Lane Marking Detection and Moving Vehicle Detection

Authors: Hao Yu; Yule Yuan; Yueting Guo; Yong Zhao;

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.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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