Abstract
With the iterative development of autonomous driving technology, self-driving cars will be one of the most competitive areas in the future. In order to provide students with a better understanding and more comprehensive grasp of autonomous driving technology, a hardware-in-the-loop based autonomous driving simulation test platform has been built. The hardware-in-the-loop system integrates MATLAB/Simulink to build the core control algorithm model, CarMaker simulation software to provide a virtual display interface and vehicle dynamics model, and NVIDIA Jetson to deploy the ECU (Electronic Control Unit) to improve the algorithm power and Logitech G29 series driving simulators providing signal input. It provides a simulation test platform for the development and testing of advanced driver assistance systems, the development and testing of upper layer control algorithms and underlying actuators for autonomous driving, and can provide a teaching and experimental platform for undergraduate students and a development foundation for postgraduate practice.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Zheng, K., Xue, X., Li, H., Cheng, G. (2023). Design and Validation of a Hardware-In-The-Loop Based Automated Driving Simulation Test Platform. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1879. Springer, Singapore. https://doi.org/10.1007/978-981-99-5968-6_29
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DOI: https://doi.org/10.1007/978-981-99-5968-6_29
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