Intelligent Task Scheduling Algorithm using Real-Time STM32 Processor

The main aim of this proposed system is to design an efficient dynamic real-time task scheduling algorithm for autonomous vehicles in order to reduce latency, error rate and enhance the power efficiency. The Demerits of the existing model has static real time task scheduling will be solved by the high-performance ARM processor for dynamic real-time task scheduling. The FreeRTOS is used as an open-source software solution in providing better task scheduling to prioritize the sensor activities depending on the environmental factors and the user customization. The Proposed method employs an AI-based strategy for reduction in Power efficiency from 5mw to 3mw, Computational Latency reduced to 30 ms to 10 ms and improvements in resource utilization in a hard real-time system. The RTOS and STM32 based module is used for task scheduling for prioritizing data in autonomous vehicles for resource optimization, and minimal power consumption and thereby performing efficient and adaptive tasks in Self Driving Vehicles.