6 papers
Integrated Graph Search and Model Predictive Control for Smooth and Efficient Path Planning in Autonomous Vehicles
Duc-Tien Bui, Ngoc Thinh Nguyen, Hung Duy Nguyen +3
Path planning is a fundamental component of autonomous vehicles, where achieving safe, comfortable, and dynamically feasible paths while ensuring computational efficiency remains a…
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios
Dong Bi, Yongqi Zhao, Paul Kovacevic +4
Personalized driving can improve the user acceptance of automated driving systems. However, existing methods still provide limited support for translating natural-language driving…
Automated Digital Twin Construction for Highway Scenarios Using LiDAR Point Clouds and OpenStreetMap
Yongqi Zhao, Dong Bi, Paul Kovacevic +4
Accurate road environment modeling is fundamental to the simulation and validation of automated driving systems. However, constructing road maps in standardized formats such as ASA…
A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
Yongqi Zhao, Ji Zhou, Dong Bi +3
The safety and reliability of Automated Driving Systems (ADSs) must be validated prior to large-scale deployment. Among existing validation approaches, scenario-based testing has b…
A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs
Yongqi Zhao, Xinrui Zhang, Tomislav Mihalj +10
Testing cloud-controlled intelligent connected vehicles (ICVs) requires simulation environments that faithfully emulate both vehicle behavior and realistic communication latencies.…
Toward a Full-Stack Co-Simulation Platform for Testing of Automated Driving Systems
Dong Bi, Yongqi Zhao, Zhengguo Gu +3
Virtual testing has emerged as an effective approach to accelerate the deployment of automated driving systems. Nevertheless, existing simulation toolchains encounter difficulties…