Enhancing Self-Driving Capabilities: A Design Architecture Leveraging Sensor Systems and Cloud Computing

This paper endeavors to accomplish Level 4 and Level 5 self-driving by devising a design architecture for cloud-based self-driving vehicles. It incorporates a hybrid positioning navigation method [24, 25] and diverse sensing systems [9, 5, 7, 27] to capture precise environmental information, along with Inertial Measurement Unit (IMU) sensors and wheel odometry to complement other sensors and improve positioning accuracy and stability [26, 27, 25]. The architecture utilizes a combination of Vehicular Ad hoc Network (VANET), Internet of Vehicles (IoV), and in-vehicle millimeter wave systems for high-level information communication [9, 8]. To enable real-time monitoring, analysis, and application of vehicle data, the architecture leverages cloud computing, particularly the Amazon Web Services (AWS) platform [10, 11], and takes into account data security risks. The research in this paper is important for promoting the development of autonomous driving technology and provides valuable references for research and practical applications in related fields.