Foundations of Self-Driving Car Engineering

Autonomous vehicles are redefining the future of transportation, but understanding how they operate requires a solid grasp of both hardware and software integration. This course breaks down the complex engineering systems that allow self-driving cars to perceive, plan, and navigate their environments safely. By completing this course, you will transition from a curious enthusiast to understanding the foundational principles of autonomous driving, including vehicle dynamics, control algorithms, and modern perception pipelines. What you'll learn: - Understand the essential terminology, hardware sensors, and safety frameworks used in autonomous vehicle design. - Analyze the core components of the self-driving software stack, from localization to path planning. - Program basic kinematic vehicle models and lateral control algorithms using Python code snippets. - Explore modern sensor fusion techniques and the foundational role of deep learning in vehicle perception. - Evaluate safety assessment protocols and functional safety standards for autonomous systems. The course begins with fundamental concepts and vocabulary before guiding you through vehicle modeling, control strategies, and the software architectures that power autonomous navigation. This course is designed for beginners, engineering students, and software developers looking for a clear, structured introduction to autonomous vehicle technology. No prior experience with self-driving systems is required. Start reading today to build your foundational knowledge of self-driving technology.