{"ID":2824413,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.23575","arxiv_id":"2512.23575","title":"Model-based Development for Autonomous Driving Software Considering Parallelization","abstract":"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.","short_abstract":"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 dr...","url_abs":"https://arxiv.org/abs/2512.23575","url_pdf":"https://arxiv.org/pdf/2512.23575v1","authors":"[\"Kenshin Obi\",\"Takumi Onozawa\",\"Hiroshi Fujimoto\",\"Takuya Azumi\"]","published":"2025-12-29T16:16:41Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[]","has_code":false}