Journal of Embedded Systems & Its Applications ISSN: 3139-2296 (Online)

Authors: Atul Negi, Praveen Kumar, Alok Pandit

Abstract: The surge in autonomous vehicle technology has underscored the critical role of Real-Time Operating Systems (RTOS) in managing complex, time-sensitive tasks. RTOS serves as the backbone for ensuring real-time responsiveness and reliability in autonomous driving systems, where delayed responses can lead to significant safety concerns. This paper delves into an extensive study aimed at enhancing the responsiveness of autonomous vehicles through the optimization of RTOS-based system design. The methodology employed centers around a dual approach: first, the redesigning of the system architecture to better leverage the capabilities of the chosen RTOS, and second, the application of advanced optimization techniques, including task scheduling algorithms and memory management optimizations, tailored specifically for autonomous vehicle applications. The study reveals notable improvements in system responsiveness, quantified through a series of benchmarks and real-world scenario tests. Key findings include a marked reduction in system latency and an increase in data processing efficiency, directly correlating to enhanced vehicular response times in varied driving conditions. Furthermore, the research highlights potential implications for future developments in autonomous vehicle technologies. The enhancements in RTOS-based system design not only contribute to increased safety and reliability but also pave the way for more advanced features in autonomous driving, such as improved decision-making capabilities and adaptability to dynamic environments. This study thus serves as a foundational reference for both the current and future state of RTOS optimization in the realm of autonomous vehicle technology.

Keywords: Real-Time Operating Systems, Autonomous Vehicles, System Design, Optimization, Responsiveness, Embedded Systems.