Items where authors include "Azarmi, M."

Article

Azarmi, M. orcid.org/0000-0003-0737-9204, Rezaei, M. orcid.org/0000-0003-3892-421X and Wang, H. (2025) PIP-Net: Pedestrian Intention Prediction in the Wild. IEEE Transactions on Intelligent Transportation Systems, 26 (7). pp. 9824-9837. ISSN 1524-9050

Kazemi, M., Rezaei, M. orcid.org/0000-0003-3892-421X and Azarmi, M. orcid.org/0000-0003-0737-9204 (2025) Evaluating Driver Readiness in Conditionally Automated Vehicles From Eye‐Tracking Data and Head Pose. IET Intelligent Transport Systems, 19 (1). e70006. ISSN 1751-956X

Proceedings Paper

Rezaei, M. orcid.org/0000-0003-3892-421X and Azarmi, M. (2025) Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles. In: IEEE Intelligent Vehicles Symposium Proceedings. 2025 IEEE Intelligent Vehicles Symposium (IV), 22-25 Jun 2025, Cluj-Napoca, Romania. IEEE , pp. 1841-1848. ISBN 979-8-3315-3804-0

Azarmi, M., Rezaei, M. orcid.org/0000-0003-3892-421X and Wang, H. (2025) Pedestrian Intention Prediction via Vision-Language Foundation Models. In: 2025 IEEE Intelligent Vehicles Symposium (IV). 2025 IEEE Intelligent Vehicles Symposium (IV), 22-25 Jun 2025, Cluj-Napoca, Romania. IEEE , pp. 1899-1904. ISBN 979-8-3315-3804-0

Qian, C., Rezaei, M. orcid.org/0000-0003-3892-421X, Anwar, S. et al. (4 more authors) (2024) AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions. In: Pattern Recognition. ICPR 2024, 01-05 Dec 2024, Kolkata, India. Lecture Notes in Computer Science, 15330 . Springer , Cham, Switzerland , pp. 151-166. ISBN 978-3-031-78112-4

Preprint

Azarmi, M., Rezaei, M. orcid.org/0000-0003-3892-421X, Wang, H. et al. (1 more author) (2025) Pedestrian Intention Prediction in Autonomous Vehicles: A Review on Context-Aware Features Importance. [Preprint]