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A rapid simulation development platform for autonomous driving based on CARLA and ROS

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DOI: 10.23977/jaip.2023.060303 | Downloads: 13 | Views: 331

Author(s)

Zhou Su 1,2, Zhu Zhenhua 1, Zhu Xiaofeng 1

Affiliation(s)

1 School of Automotive Studies, Tongji University, Shanghai, China
2 Sino-German College, Tongji University, Shanghai, China

Corresponding Author

Zhu Zhenhua

ABSTRACT

This paper discusses the development of a rapid simulation development platform based on CARLA and ROS. Firstly, the high cost and difficulty of algorithm verification in real-world experiments, mapping, and planning were introduced. The goal of accelerating research and development efficiency through the use of simulation development platforms was proposed. Based on these requirements, a multi-level platform architecture was designed, and the platform architecture, construction process, and related applications were introduced, creating a rapid development platform for autonomous driving simulation tasks. Finally, using mapping experiments and motion planning experiments as examples, the application of the rapid development platform was introduced.

KEYWORDS

Simulation platform, CARLA, Motion planning, Semantic mapping

CITE THIS PAPER

Zhou Su, Zhu Zhenhua, Zhu Xiaofeng, A rapid simulation development platform for autonomous driving based on CARLA and ROS. Journal of Artificial Intelligence Practice (2023) Vol. 6: 15-25. DOI: http://dx.doi.org/10.23977/jaip.2023.060303.

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