Pedestrian Intention Prediction via Vision-Language Foundation Models

Azarmi, M., Rezaei, M. orcid.org/0000-0003-3892-421X and Wang, H. (Accepted: 2025) Pedestrian Intention Prediction via Vision-Language Foundation Models. In: IEEE Intelligent Vehicles Symposium Proceedings. IEEE Intelligent Vehicles Symposium 2025, 22-25 Jun 2025, Napoca, Romania. IEEE (In Press)

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Item Type: Proceedings Paper
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This is an author produced version of a conference paper accepted for publication in IEEE Symposium on Intelligent Vehicle Proceedings made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Accepted: 24 April 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
101006664
Depositing User: Symplectic Publications
Date Deposited: 29 Jul 2025 13:49
Last Modified: 29 Jul 2025 13:49
Status: In Press
Publisher: IEEE
Open Archives Initiative ID (OAI ID):

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