Foundations of Self-Driving Car Software

Ever wondered how a car can navigate the world on its own? This course breaks down the complex software behind autonomous vehicles into clear, understandable concepts for anyone ready to learn. You will build a strong foundational understanding of a self-driving car's software stack. Through text-based lessons and code examples, you'll learn how these systems perceive their environment, make decisions, and execute maneuvers, preparing you to tackle more advanced topics in robotics and AI. What you'll learn: - Understand the fundamental architecture of an autonomous vehicle system. - Apply computer vision techniques with Python for lane detection and object recognition. - Learn the principles of sensor fusion for combining data from various inputs. - Implement core path planning and localization algorithms in C++. - Explore how machine learning models inform a vehicle's decision-making process. - Practice core concepts through hands-on coding exercises you can complete on your own machine. The course starts with key terminology and the basic physics of vehicle motion, then progresses through the essential modules of perception, planning, and control. Each topic is explained from the ground up. This course is designed for complete beginners. No prior experience in robotics or artificial intelligence is necessary, though a basic familiarity with programming is recommended. Start your journey into the world of autonomous technology today.