eprintid: 5683
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/56/83
datestamp: 2023-11-09 16:17:25
lastmod: 2023-11-09 16:17:25
status_changed: 2023-11-09 16:03:34
type: article
metadata_visibility: show
creators_name: Mukhtar, A.
creators_name: Xia, L.
creators_name: Tang, T.B.
title: Vehicle Detection Techniques for Collision Avoidance Systems: A Review
ispublished: pub
keywords: Collision avoidance; Motor transportation; Motorcycles; Object detection; Roads and streets; Safety devices; Surveys; Tracking (position), Cluttered environments; Collision avoidance systems; Low cost and reliable; Motorcycle detection; Sensor comparisons; Various illumination conditions; Vehicle detection; Vision-based vehicle detection, Vehicles
note: cited By 323
abstract: Over the past decade, vision-based vehicle detection techniques for road safety improvement have gained an increasing amount of attention. Unfortunately, the techniques suffer from robustness due to huge variability in vehicle shape (particularly for motorcycles), cluttered environment, various illumination conditions, and driving behavior. In this paper, we provide a comprehensive survey in a systematic approach about the state-of-the-art on-road vision-based vehicle detection and tracking systems for collision avoidance systems (CASs). This paper is structured based on a vehicle detection processes starting from sensor selection to vehicle detection and tracking. Techniques in each process/step are reviewed and analyzed individually. Two main contributions in this paper are the following: survey on motorcycle detection techniques and the sensor comparison in terms of cost and range parameters. Finally, the survey provides an optimal choice with a low cost and reliable CAS design in vehicle industries. © 2000-2011 IEEE.
date: 2015
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959500616&doi=10.1109%2fTITS.2015.2409109&partnerID=40&md5=9231eb1f9531c33918ae488f883172d4
id_number: 10.1109/TITS.2015.2409109
full_text_status: none
publication: IEEE Transactions on Intelligent Transportation Systems
volume: 16
number: 5
pagerange: 2318-2338
refereed: TRUE
issn: 15249050
citation:   Mukhtar, A. and Xia, L. and Tang, T.B.  (2015) Vehicle Detection Techniques for Collision Avoidance Systems: A Review.  IEEE Transactions on Intelligent Transportation Systems, 16 (5).  pp. 2318-2338.  ISSN 15249050