Autonomous Vehicle

Bézier Everywhere All at Once: Learning Drivable Lanes as Bézier Graphs
Knowledge of lane topology is a core problem in autonomous driving. Vision-based techniques hold the promise of automatically detecting …
Hugh Blayney, Hanlin Tian, Hamish Scott, Nils Goldbeck, Chess Stetson, Panagiotis Angeloudis
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for …
Hanlin Tian, Kethan Reddy, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis
Arxiv
The Impact of Building-Induced Visibility Restrictions on Intersection Accidents
Traffic accidents, especially at intersections, are a major road safety concern. Previous research has extensively studied …
Hanlin Tian, Yuxiang Feng, Wei Zhou, Anupriya, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis
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An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies …
Leandro Parada, Hanlin Tian, Jose Escribano, Panagiotis Angeloudis
Safety Standards for Autonomous Vehicles: Challenges and Way Forward
This paper examines current autonomous vehicle (AV) safety standards and identifies gaps in their scope and depth. It is the first to …
Elias Nassif, Hanlin Tian, Eduardo Candela, Yuxiang Feng, Panagiotis Angeloudis, Washington Y Ochieng