{"id":16075,"date":"2026-08-10T12:03:00","date_gmt":"2026-08-10T12:03:00","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/springer-nature-autonomous-driving-handbook-2026-4\/"},"modified":"2026-08-10T12:03:00","modified_gmt":"2026-08-10T12:03:00","slug":"springer-nature-autonomous-driving-handbook-2026-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/springer-nature-autonomous-driving-handbook-2026-4\/","title":{"rendered":"Springer Nature \u2013 Autonomous Driving Handbook 2026-4"},"content":{"rendered":"
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Description<\/h2>\n

Autonomous Driving Handbook is a textbook on the technologies, methods, and engineering principles behind autonomous vehicles and intelligent transportation systems, published by Springer Nature Online Academy. It provides a comprehensive review of autonomous driving, from sensing and perception to decision-making, planning, control, and vehicle deployment. As an expert who has been deeply involved in computer software, computer vision, and machine learning for decades and has been at the forefront of research and development in this emerging technology field, we aim to systematically introduce the advanced technical theories of autonomous driving to newcomers. Readers will gain a deep understanding of how artificial intelligence, machine learning, computer vision, sensor integration, robotics, and high-quality mapping work together to enable autonomous vehicles to operate safely and efficiently.<\/p>\n

Covering theoretical foundations and real-world industry practices, this book provides valuable insights into the challenges, innovations, safety considerations, and future trends shaping the autonomous transportation ecosystem. Since autonomous driving is a very large topic and has limited pages, the focus of this book is to introduce cutting-edge technologies, especially tracing some of the current hot spots in autonomous driving, such as sensor integration for perception, maps, and localization, learning and prediction of driving behavior, end-to-end planning and control, BEV and occupancy perception, neural rendering and Gaussian scattering, large-scale models, and AI agent-based autonomous driving technology.<\/p>\n

What you will learn in Microsoft Visual C# Step by Step:<\/h3>\n