5 citations · 5 across the 3 of their papers we have counts for
5 papers
Closed-Loop Refinement and Execution for Learned Driving Planners
Huaijin Hu, Shanting Wang, Zhongyu Mo +1
Learning-based driving planners are usually trained and evaluated in open loop against logged trajectories. In closed loop, a trajectory with small displacement error can still sta…
An Online Learning Approach for Two-Player Zero-Sum Linear Quadratic Games
Shanting Wang, Weihao Sun, Andreas A. Malikopoulos
In this paper, we present an online learning approach for two-player zero-sum linear quadratic games with unknown dynamics. We develop a framework combining regularized least squar…
VisioPath: Vision-Language Enhanced Model Predictive Control for Safe Autonomous Navigation in Mixed Traffic
Shanting Wang, Panagiotis Typaldos, Chenjun Li +1
In this paper, we introduce VisioPath, a novel framework combining vision-language models (VLMs) with model predictive control (MPC) to enable safe autonomous driving in dynamic tr…
CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles
Shanting Wang, Panagiotis Typaldos, Andreas A. Malikopoulos
In this paper, we present Corridor-Agent (CorrA), a framework that integrates large language models (LLMs) with model predictive control (MPC) to address the challenges of dynamic…
On Mobility Equity and the Promise of Emerging Transportation Systems
Heeseung Bang, Aditya Dave, Filippos N. Tzortzoglou +2
This paper introduces a mobility equity metric (MEM) for evaluating fairness and accessibility in multi-modal intelligent transportation systems. The MEM simultaneously accounts fo…