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A New Multi-Lanes Detection Using Multi-Camera for Robust Vehicle Location

Ieng, Sio-Song, Vrignon, Jeremy, Gruyer, Dominique, & Aubert, Didier (2005) A New Multi-Lanes Detection Using Multi-Camera for Robust Vehicle Location. In IEEE Intelligent Vehicles Symposium, 6-8 June 2005, Las Vegas, USA.

Abstract

This paper deals with a new multi-lane markings detection and tracking system. The proposed system uses multiple cameras positioned differently in order to reduce different kind of perturbations, such as light sensitivity. The algorithm combines Robust Kalman Filtering and association based on belief theory to achieve multi-object tracking. Thus, the system provides the ability to track lane markings without any assumption on their number. It also proposes a new lane change management. To study this new system, the algorithm has been implemented on an embedded computer equipped with multiple cameras. We present experimental results obtained on a track. These results allow us to show important advantages of this new system and its robustness by comparing it to a classical system.

Impact and interest:

10 citations in Scopus
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0 citations in Web of Science®

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633 since deposited on 24 Sep 2007
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ID Code: 9663
Item Type: Conference Paper
Additional URLs:
Keywords: Imaging and Vision, Robust Estimation, Lane Detection, Road Modelling, Classification, Multi, Object Tracking, Kalman Filter
ISBN: 0780389611
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Preventive Medicine (111716)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700) > Road Transportation and Freight Services (150703)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2005 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 24 Sep 2007
Last Modified: 11 Aug 2011 00:24

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