2 papers
cs.LG2026
hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways
Mahshid Malazizi, Seyedmehdi Khaleghian, Mina Sartipi +3
This paper formulates frame-level freeway risk assessment as a multi-agent scene graph-level binary classification problem, where each video or trajectory frame is labeled risky if…
cs.ET2025
Improving VANET Simulation Channel Model in an Urban Environment via Calibration Using Real-World Communication Data
Ahmed Gammaa, Seyedmehdi Khaleghian, Toan Tran +1
Wireless communication channels in Vehicular Ad-hoc NETworks (VANETs) suffer from packet losses, which severely influences the performance of their applications. There are several…