145 citations · 199 across the 8 of their papers we have counts for
4 papers · 1 filter
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…