Foundations of Autonomous Vehicle Engineering

The autonomous vehicle industry is transforming global transportation, creating a high demand for professionals who understand how self-driving systems operate. This text-based course guides you through the foundational concepts of autonomous vehicle engineering, giving you a clear understanding of how perception, planning, and control systems integrate to navigate real-world environments safely. What you'll learn: - Understand the core architecture of autonomous vehicles, including perception, localization, planning, and control systems. - Explore how sensors like LiDAR, radar, and cameras work together through sensor fusion to perceive the environment. - Learn path planning algorithms and decision-making frameworks used by self-driving cars to navigate safely. - Examine vehicle dynamics and control theory basics, including PID controllers and model predictive control. - Discover industry safety standards and modern systems engineering practices, including an overview of ISO 26262. - Analyze how modern robotics frameworks like ROS 2 are applied to develop and test autonomous driving software. You will start with essential terminology and the physical dynamics of vehicles before moving into sensor technologies, algorithmic decision-making, and safety-critical software architectures. Designed for aspiring engineers, tech enthusiasts, and students new to the field, this course requires no prior experience in robotics or automotive engineering. Begin reading today to build a strong foundation in the future of mobility.