🤖 AI Summary
This paper addresses critical data authorization and verification challenges in autonomous driving systems (ADS) operating within distributed environments—specifically, multi-source sensor data sharing, privacy preservation, regulatory compliance (e.g., ISO/SAE 21434 and ISO 26262), and ambiguous data ownership. To tackle these issues, we propose the first full-stack ADS data governance framework, featuring a tightly integrated authorization-and-verification co-design model that ensures real-time operation, scalability, and regulatory adherence. Methodologically, the framework synergistically combines attribute-based access control (ABAC), digital signatures, zero-knowledge proofs, and federated learning, all grounded in automotive functional safety and cybersecurity standards. Through systematic gap analysis, we identify six fundamental research directions. The work provides both theoretical foundations and implementable technical pathways toward building a trustworthy, vehicle-road-cloud integrated data ecosystem.
📝 Abstract
Autonomous systems are becoming increasingly prevalent in new vehicles. Due to their environmental friendliness and their remarkable capability to significantly enhance road safety, these vehicles have gained widespread recognition and acceptance in recent years. Automated Driving Systems (ADS) are intricate systems that incorporate a multitude of sensors and actuators to interact with the environment autonomously, pervasively, and interactively. Consequently, numerous studies are currently underway to keep abreast of these rapid developments. This paper aims to provide a comprehensive overview of recent advancements in ADS technologies. It provides in-depth insights into the detailed information about how data and information flow in the distributed system, including autonomous vehicles and other various supporting services and entities. Data validation and system requirements are emphasised, such as security, privacy, scalability, and data ownership, in accordance with regulatory standards. Finally, several current research directions in the AVs field will be discussed.