Parallelization for Autonomous Driving Software

Published:Dec 29, 2025 16:16
1 min read
ArXiv

Analysis

This paper addresses the critical need for real-time performance in autonomous driving software. It proposes a parallelization method using Model-Based Development (MBD) to improve execution time, a crucial factor for safety and responsiveness in autonomous vehicles. The extension of the Model-Based Parallelizer (MBP) method suggests a practical approach to tackling the complexity of autonomous driving systems.

Reference

The evaluation results demonstrate that the proposed method is suitable for the development of autonomous driving software, particularly in achieving real-time performance.