Computer Vision for Driver Assistance

Rezaei, M orcid.org/0000-0003-3892-421X and Klette, R (2017) Computer Vision for Driver Assistance. Computational Imaging and Vision, 45 . Springer International Publishing . ISBN 9783319505497

Abstract

Metadata

Authors/Creators:
Keywords: advanced driver-assistance systems; autonomous vehicles; driver distraction; driver fatigue; vehicle detection; supervised learning; unsupervised learning; object detection; object tracking; fuzzy logic
Dates:
  • Published: 15 February 2017
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: 15 Sep 2020 11:14
Last Modified: 15 Sep 2020 11:14
Status: Published
Publisher: Springer International Publishing
Series Name: Computational Imaging and Vision
Identification Number: https://doi.org/10.1007/978-3-319-50551-0

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