145 citations · 199 across the 8 of their papers we have counts for
9 papers
Pedestrian Intention Prediction via Vision-Language Foundation Models
Mohsen Azarmi, Mahdi Rezaei, He Wang
Prediction of pedestrian crossing intention is a critical function in autonomous vehicles. Conventional vision-based methods of crossing intention prediction often struggle with ge…
Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles
Mahdi Rezaei, Mohsen Azarmi
Ensuring safe transition of control in automated vehicles requires an accurate and timely assessment of driver readiness. This paper introduces Driver-Net, a novel deep learning fr…
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review
Mohsen Azarmi, Mahdi Rezaei, He Wang +1
Recent advancements in predicting pedestrian crossing intentions for Autonomous Vehicles using Computer Vision and Deep Neural Networks are promising. However, the black-box nature…
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions
Chenghao Qian, Mahdi Rezaei, Saeed Anwar +4
Adverse conditions like snow, rain, nighttime, and fog, pose challenges for autonomous driving perception systems. Existing methods have limited effectiveness in improving essentia…
PIP-Net: Pedestrian Intention Prediction in the Wild
Mohsen Azarmi, Mahdi Rezaei, He Wang
Accurate pedestrian intention prediction (PIP) by Autonomous Vehicles (AVs) is one of the current research challenges in this field. In this article, we introduce PIP-Net, a novel…
Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose
Mostafa Kazemi, Mahdi Rezaei, Mohsen Azarmi
As automated driving technology advances, the role of the driver to resume control of the vehicle in conditionally automated vehicles becomes increasingly critical. In the SAE Leve…
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction
Mohsen Azarmi, Mahdi Rezaei, Tanveer Hussain +1
Autonomous vehicles (AVs) are becoming an indispensable part of future transportation. However, safety challenges and lack of reliability limit their real-world deployment. Towards…
Traffic-Net: 3D Traffic Monitoring Using a Single Camera
Mahdi Rezaei, Mohsen Azarmi, Farzam Mohammad Pour Mir
Computer Vision has played a major role in Intelligent Transportation Systems (ITS) and traffic surveillance. Along with the rapidly growing automated vehicles and crowded cities,…
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei, Mohsen Azarmi
Social distancing is a recommended solution by the World Health Organisation (WHO) to minimise the spread of COVID-19 in public places. The majority of governments and national hea…