5 papers
PRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment
Tam Bang, Hussam Abubakr, Emiliano de la Garza Villarreal +6
Urban intersections are among the most hazardous locations in road networks, posing significant risks to vehicles and vulnerable road users (VRUs) such as pedestrians and cyclists.…
CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception
Tam Bang, Hoang H. Nguyen, Lei Cheng +6
Reliable roadside perception of vulnerable road users (VRUs) remains challenging under occlusions, variable lighting, and diverse weather conditions, particularly under strict edge…
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…
CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR-Camera Calibration with Iterative and Attention-Driven Post-Refinement
Lei Cheng, Lihao Guo, Tianya Zhang +5
Accurate multi-sensor calibration is essential for deploying robust perception systems in applications such as autonomous driving and intelligent transportation. Existing LiDAR-cam…
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…