Methodology research on constructing CarMaker scene library based on OpenX scene library

Yiteng Zhang; Mian Dai

doi:10.1117/12.3029697

21 June 2024 Methodology research on constructing CarMaker scene library based on OpenX scene library

Yiteng Zhang, Mian Dai

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131671C (2024) https://doi.org/10.1117/12.3029697
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

CarMaker is a widely used simulation testing software, yet there is currently no scenario library available for standard regulations in the market. This article presents the development of a scene library conversion service that converts OpenXbased scene libraries into CarMaker scene libraries. This service has the potential to enhance the efficiency of host factory scene simulation by 95% and expand the scale of CarMaker's scene library, achieving a 100% conversion rate of scene elements. This service swiftly converts scenarios with the aid of a blend of C++ and C # programming, ensuring data integrity and accuracy. We expanded the usage scenarios of the standard scene library and resolved the issue of a limited number of scenes available in the CarMaker scene library within the simulation market.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiteng Zhang and Mian Dai "Methodology research on constructing CarMaker scene library based on OpenX scene library", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131671C (21 June 2024); https://doi.org/10.1117/12.3029697

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