3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2024★ 1 cited
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…
cs.RO2024★ 3 cited
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…
cs.CV2023
The Robust Semantic Segmentation UNCV2023 Challenge Results
Xuanlong Yu, Yi Zuo, Zitao Wang +34
This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segment…