Search Results for author:
Found 4 papers, 2 papers with code
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
Travel choice analysis is crucial for understanding individual travel behavior to develop appropriate transport policies and recommendation systems in Intelligent Transportation Systems (ITS).
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.
Bezier Everywhere All at Once: Learning Drivable Lanes as Bezier Graphs
Knowledge of lane topology is a core problem in autonomous driving.
The Robust Semantic Segmentation UNCV2023 Challenge Results
This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
