Autonomous Vehicle Control System Overview
Autonomous vehicle (AV) control systems are the backbone of self-driving technology, enabling vehicles to navigate complex environments without human intervention. These systems integrate advanced algorithms, sensors, and computational platforms to perceive, plan, and execute driving tasks with precision and safety. As the automotive industry advances toward higher levels of autonomy, this 800-word overview examines the architecture, key components, benefits, challenges, and future trends of autonomous vehicle control systems. Architecture of AV Control Systems The control system operates as the "brain" of an autonomous vehicle, orchestrating a hierarchical structure that processes data and executes decisions. Its architecture typically includes three core layers: Perception Layer : This layer gathers and interprets environmental data using sensors like LiDAR, radar, cameras, and ultrasonic sensors. Sensor fusion algorithms combine inputs to create a comprehensive 360-degr...