Smart City Wheeled Autonomous Vehicles: Fundamentals

Autonomous transport is reshaping modern urban mobility by connecting smart city infrastructure with self-driving vehicles. Understanding how wheeled autonomous systems perceive, navigate, and communicate is essential for future technology specialists. This course introduces you to the foundational principles of wheeled autonomous transport within Smart City ecosystems. You will start with key terminology and system architecture before exploring sensor technologies, navigation algorithms, and connectivity framework. What you will learn: Learn essential terminology, levels of autonomy, and hardware components of wheeled autonomous transport. Understand perception systems including LiDAR, radar, cameras, and sensor fusion concepts. Apply basic path planning, localization, and obstacle avoidance logic to urban navigation scenarios. Explore Vehicle-to-Everything (V2X) communication standards and traffic management integration. Study modern software concepts like ROS 2 and basic vehicle telemetry structures. Review safety protocols, system redundancy, and regulatory frameworks for municipal deployment. The material guides you step-by-step from foundational theories to practical operational logic and network integration through clear written lessons and structured exercises. Designed for beginners and students entering transport technology programs with no prior technical background required. Start reading today to build a strong theoretical foundation in modern autonomous vehicle systems.