Bi, Dong (Graz University of Technology), Zhao, Yongqi (Graz University of Technology), GU, Zhengguo (Graz University of Technology), Mihalj, Tomislav (Graz University of Technology), Hu, Jia (Tongji University), Eichberger, Arno (TU Graz)

Toward a Full-Stack Co-Simulation Platform for Testing of Automated Driving Systems

Scheduled for presentation during the Invited Session "S19a-Artificial Transportation Systems and Simulation" (TH-LM-T19), Thursday, November 20, 2025, 11:10−11:30, Surfers Paradise 1

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Abstract

Virtual testing has emerged as an effective approach to accelerate the deployment of automated driving systems. Nevertheless, existing simulation toolchains encounter difficulties in integrating rapid, automated scenario generation with simulation environments supporting advanced automated driving capabilities. To address this limitation, a full-stack toolchain is presented, enabling automatic scenario generation from real-world datasets and efficient validation through a co-simulation platform based on CarMaker, ROS, and Apollo. The simulation results demonstrate the effectiveness of the proposed toolchain. A demonstration video showcasing the toolchain is available at the provided link:https://youtu.be/taJw_-CmSiY.