Parallelization for Autonomous Driving Software

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.