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cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

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.…

cs.RO2025

Human-Machine Shared Control Approach for the Takeover of CACC

Haoran Wang, Zhexi Lian, Zhenning Li +5

Cooperative Adaptive Cruise Control (CACC) often requires human takeover for tasks such as exiting a freeway. Direct human takeover can pose significant risks, especially given the…

cs.RO2025

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…