Traffic-aware pedestrian intention prediction

Published in American Control Conference (ACC) 2025, 2025

This paper introduces a traffic-aware graph neural network architecture for pedestrian intention prediction, improving performance on the PIE dataset.

Download paper here

Funding: This work was supported by the National Science Foundation under Grant CNS-1830335 and Grant IIS-2007949.

Recommended citation: Fahimeh Orvati Nia, Hai Lin. (2025). "Traffic-Aware Pedestrian Intention Prediction." American Control Conference (ACC) 2025.
Download Paper