Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions

Rezaei, M, 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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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
  • Accepted: 26 March 2015
  • Published (online): 4 May 2015
  • Published: October 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: