3 citations · 6 across the 5 of their papers we have counts for
3 papers · 1 filter
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
Leandro Parada, Hanlin Tian, Jose Escribano +1
Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies are likely to lead to collisions. One promis…
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
Xuehao Zhai, Hanlin Tian, Lintong Li +1
Travel choice analysis is crucial for understanding individual travel behavior to develop appropriate transport policies and recommendation systems in Intelligent Transportation Sy…
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
Hanlin Tian, Kethan Reddy, Yuxiang Feng +3
This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, f…