NDLI: Barriers detection method for stereovision-based ACC systems

Content Provider	IEEE Xplore Digital Library
Author	Marita, T.
Copyright Year	2009
Description	Author affiliation: Technical University of Cluj-Napoca, Romania (Marita, T.)
Abstract	This paper presents a vision-based road-barriers detection method. Because horizontal structures are hard to detect by binocular stereovision, object detection methods based on 3D points grouping fail to detect the barriers as obstacles and consequently specific ACC applications as longitudinal control will fail to react when the vehicle path is obstructed by such an object. Therefore the proposed method combines the detection of the horizontal structure of a barrier's boom in the 2D grayscale image space using a Hough based approach followed by a series of 3D validation steps based on dense stereo-vision and derived functions (lane and objects detection) in order to eliminate false positives and to infer the associated 3D information. The detected barrier objects are reported as 3D cuboids which are further tracked along with other objects/obstacles detected through a 3D points grouping method integrated in a multifunction application for vision based driving assistance.
Starting Page	95
Ending Page	101
File Size	857050
Page Count	7
File Format	PDF
ISBN	9781424450077
DOI	10.1109/ICCP.2009.5284778
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-27
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Image edge detection Vehicle detection Vehicle safety Object detection Gray-scale Radar tracking Control systems Stereo vision Vehicles
Content Type	Text
Resource Type	Article

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