20 citations · 26 across the 7 of their papers we have counts for
8 papers
Parking of Connected Automated Vehicles: Vehicle Control, Parking Assignment, and Multi-agent Simulation
Xu Shen, Yongkeun Choi, Alex Wong +3
This paper introduces a comprehensive approach to optimize parking efficiency for connected and Automated vehicle (CAVs) fleets. We present a multi-vehicle parking simulator, equip…
Increasing Electric Vehicles Utilization in Transit Fleets using Learning, Predictions, Optimization, and Automation
Jacopo Guanetti, Yeojun Kim, Xu Shen +4
This work presents a novel hierarchical approach to increase Battery Electric Buses (BEBs) utilization in transit fleets. The proposed approach relies on three key components. A le…
Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces
Xu Shen, Francesco Borrelli
This work presents a distributed algorithm for resolving cooperative multi-vehicle conflicts in highly constrained spaces. By formulating the conflict resolution problem as a Multi…
Multi-vehicle Conflict Resolution in Highly Constrained Spaces by Merging Optimal Control and Reinforcement Learning
Xu Shen, Francesco Borrelli
We present a novel method to address the problem of multi-vehicle conflict resolution in highly constrained spaces. An optimal control problem is formulated to incorporate nonlinea…
ParkPredict+: Multimodal Intent and Motion Prediction for Vehicles in Parking Lots with CNN and Transformer
Xu Shen, Matthew Lacayo, Nidhir Guggilla +1
The problem of multimodal intent and trajectory prediction for human-driven vehicles in parking lots is addressed in this paper. Using models designed with CNN and Transformer netw…
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach
Xu Shen, Edward L. Zhu, Yvonne R. Stürz +1
We present a hierarchical control approach for maneuvering an autonomous vehicle (AV) in tightly-constrained environments where other moving AVs and/or human driven vehicles are pr…
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots
Xu Shen, Ivo Batkovic, Vijay Govindarajan +3
We investigate the problem of predicting driver behavior in parking lots, an environment which is less structured than typical road networks and features complex, interactive maneu…
Autonomous Parking of Vehicle Fleet in Tight Environments
Xu Shen, Xiaojing Zhang, Francesco Borrelli
The problem of autonomous parking of vehicle fleets is addressed in this paper. We present a system-level modeling and control framework which allows investigating different vehicl…