23 citations · 25 across the 2 of their papers we have counts for
3 papers
cs.CV2025
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…
cs.CV2024★ 2 cited
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…
cs.CV2024★ 23 cited
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…