3D-Net: Monocular 3D object recognition for traffic monitoring

Rezaei, M orcid.org/0000-0003-3892-421X, Azarmi, M orcid.org/0000-0003-0737-9204 and Mohammad Pour Mir, F (2023) 3D-Net: Monocular 3D object recognition for traffic monitoring. Expert Systems with Applications, 227. 120253. ISSN 0957-4174



Copyright, Publisher and Additional Information: © 2023 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License.
Keywords: Intelligent Transportation Systems (ITS), Traffic monitoring, Autonomous vehicles, Computer vision, Object recognition, Machine learning, Camera auto-calibration, Future mobility
  • Accepted: 22 April 2023
  • Published (online): 29 April 2023
  • Published: October 2023
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)
Funding Information:
FunderGrant number
EU - European Union101006664
Depositing User: Symplectic Publications
Date Deposited: 24 Apr 2023 14:08
Last Modified: 25 Jun 2023 23:19
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.eswa.2023.120253
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