In recent years, autonomous vehicles have attracted attention as one of the solutions to various social problems. However, autonomous driving software requires real-time performance as it considers a variety of functions and complex environments. Therefore, this paper proposes a parallelization method for autonomous driving software using the Model-Based Development (MBD) process. The proposed method extends the existing Model-Based Parallelizer (MBP) method to facilitate the implementation of complex processing. As a result, execution time was reduced. The evaluation results demonstrate that the proposed method is suitable for the development of autonomous driving software, particularly in achieving real-time performance.
@article{arxiv.2512.23575,
title = {Model-based Development for Autonomous Driving Software Considering Parallelization},
author = {Kenshin Obi and Takumi Onozawa and Hiroshi Fujimoto and Takuya Azumi},
journal= {arXiv preprint arXiv:2512.23575},
year = {2025}
}