A robust application platform designed for autonomous driving systems utilizes diverse collective data to perceive the outside environment and make informed driving decisions independently. This system is supported by a scalable distributed computing infrastructure that leverages many-core processors alongside a variety of processor types to deliver the enhanced computational power essential for sophisticated information processing. Furthermore, the platform is designed to be adaptable, enabling software applications to operate across a range of hardware resources while maintaining real-time capabilities to guarantee both safety and reliability in autonomous operations. This versatility ensures that the system can evolve alongside advancements in technology and changing operational requirements.