Yuxin Ding is a Ph.D. student in Transportation Engineering at Penn State. He received his B.S. from the Civil Aviation University of China and his M.S. from the Georgia Institute of Technology. His research focuses on autonomous vehicles and dynamic system modeling, including lightweight LiDAR-based cooperative localization for leader-follower cooperative driving automation (IEEE T-ITS, 2026). He is a recipient of the FEGR Assistantship Stipend Supplement Fund.
Publications
From Clear to Adverse: A Survey of All-Weather LiDAR Semantic Segmentation for Autonomous Driving
FGD-VO: Enhancing Monocular Visual Odometry for Autonomous Vehicles with Reliable Inter-Frame Correspondence Modeling
Lightweight LiDAR-Based Cooperative Localization Model for Asymmetric Leader-Follower Cooperative Driving Automation System
CCFM: Collision-Constrained Flow Matching for Safety-Critical Scenario Generation
Multi-Label Scene Classification for Autonomous Vehicles: Acquiring and Accumulating Knowledge from Diverse Datasets
Optimizing Maintenance Routes for Highway Infrastructure Using Leader-Follower Autonomous Vehicles
Development of Autonomous Truck Mounted Attenuator (ATMA) Deployment Guidelines Considering Traffic and Safety Impacts
Equitable Urban Electric Vehicle Charging: Feasibility and Benefits of Streetlight Charging in Kansas City Right-of-Way
SimLKAS: A Simulation-Based Framework for the Verification and Validation of Lane Keeping Assistance Systems