Vision-based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Muhammad, K, Hussain, T orcid.org/0000-0003-4861-8347, Ullah, H et al. (6 more authors) (2022) Vision-based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks. IEEE Transactions on Intelligent Transportation Systems, 23 (12). pp. 22694-22715. ISSN 1524-9050

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Authors 2022. This work is licensed under a Creative Commons Attribution 4.0 License.
Keywords: Autonomous driving , autonomous vehicles , context prediction , deep learning , scene understanding , semantic segmentation
Dates:
  • Accepted: 14 September 2022
  • Published (online): 6 October 2022
  • Published: December 2022
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: 26 Sep 2022 14:40
Last Modified: 30 Jan 2023 13:44
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/TITS.2022.3207665

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