Introduction to Autonomous Driving / by Weisong Shi, Yuankai He.

Format:

Book

Author/Creator:

Shi, Weisong.

Contributor:

He, Yuankai.

Series:

Computer Science Series

Language:

English

Subjects (All):

Multiagent systems.

Cooperating objects (Computer systems).

Automatic control.

Robotics.

Automation.

Transportation engineering.

Traffic engineering.

Automotive engineering.

Multiagent Systems.

Cyber-Physical Systems.

Control, Robotics, Automation.

Transportation Technology and Traffic Engineering.

Automotive Engineering.

Local Subjects:

Multiagent Systems.

Cyber-Physical Systems.

Control, Robotics, Automation.

Transportation Technology and Traffic Engineering.

Automotive Engineering.

Physical Description:

1 online resource (277 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book offers an accessible introduction to the fast-moving world of autonomous driving. Aimed at students, researchers, and professionals, it provides both a comprehensive overview and a hands-on guide to the core concepts and practical tools used to build self-driving cars. Autonomous driving stands at the intersection of artificial intelligence, robotics, embedded systems, and transportation engineering. Over the past two decades, the field has advanced from speculative prototypes to road-tested systems with significant industrial and societal impact. This textbook reflects that evolution, offering readers a structured yet flexible entry point into the autonomous vehicle (AV) ecosystem. Key topics include how autonomous vehicles perceive their surroundings, determine their location, plan routes, and make driving decisions. Each chapter bridges foundational concepts with real-world applications using open-source platforms such as ROS2, CARLA, BlueICE, and Autoware.Universe. Readers will gain hands-on experience through simulation environments, real-world datasets, and modular development tools. A unique emphasis on experiential learning encourages active engagement with the complexities of AV development. From simulating sensor fusion to implementing planning strategies and security protocols, learners interact directly with the technical and design challenges inherent in the field. Reflection exercises throughout the book emphasize ethical considerations and the societal implications of AV technology—underscoring the importance of responsible innovation alongside technical fluency. While some background in programming and mathematics is helpful, the content is designed to be approachable and engaging for a broad audience interested in the future of mobility. The organization of the text—from foundational chapters on perception and localization to advanced discussions of full-stack systems and industry trends—mirrors the layered architecture of an actual autonomous vehicle. Introduction to Autonomous Driving equips readers not only with the skills needed to contribute to AV projects today, but also with the conceptual clarity and critical perspective required for leadership in this transformative domain.

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-99485-X

9783031994852

OCLC:

1547926720