Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions

Rezaei, M orcid.org/0000-0003-3892-421X, Terauchi, M and Klette, R (2015) Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions. IEEE Transactions on Intelligent Transportation Systems, 16 (5). pp. 2723-2743. ISSN 1524-9050

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Copyright, Publisher and Additional Information: © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Advanced driver assistance systems; vehicle detection; distance estimation; tail-light segmentation; symmetry detection; challenging lighting condition; global Haar-like features; horizontal edge detection; rear-end crashes; collision avoidance; Dempster–Shafer fusion
Dates:
  • Published: October 2015
  • Accepted: 26 March 2015
  • Published (online): 4 May 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Sep 2020 14:52
Last Modified: 22 Sep 2020 14:52
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/tits.2015.2421482

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