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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.23575 |
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| _version_ | 1866909977798508544 |
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| author | Obi, Kenshin Onozawa, Takumi Fujimoto, Hiroshi Azumi, Takuya |
| author_facet | Obi, Kenshin Onozawa, Takumi Fujimoto, Hiroshi Azumi, Takuya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_23575 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Model-based Development for Autonomous Driving Software Considering Parallelization Obi, Kenshin Onozawa, Takumi Fujimoto, Hiroshi Azumi, Takuya Software Engineering 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. |
| title | Model-based Development for Autonomous Driving Software Considering Parallelization |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2512.23575 |