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Full Description
This book offers an accessible introduction to the fast-moving world of autonomous driving. Aimed at students, researchers, and professionals, it covers both the core concepts and practical tools used to build self-driving cars.
Key topics include how autonomous vehicles perceive their surroundings, determine their location, plan routes, and make driving decisions. Readers will also get hands-on experience with widely used open-source platforms like ROS2, CARLA, Autoware, and BlueICE.
The book goes beyond technical details to explore real-world deployment challenges, ethical issues, and what the future might hold for this transformative technology. While some background in programming and math is helpful, the content is designed to be approachable and engaging for anyone interested in the future of mobility.
Contents
Chapter 1 Introduction to Autonomous Driving.- Chapter 2 Simulation Playground.- Chapter 3 Sensor Technologies.- Chapter 4 V2X Communications.- Chapter 5 Perception Algorithms.- Chapter 6 Localization Algorithms.- Chapter 7 Path Planning and Decision-Making.- Chapter 8 Drive-by-Wire and Vehicle Control Systems.- Chapter 9 Computing Systems.- Chapter 10 End-to-End Solutions.- Chapter 11 Security and Privacy.- Chapter 12 Simulation and Testing Techniques.- Chapter 13 Industry Landscape.- Chapter 14 Conclusion.