Description
Artificial Intelligence for Autonomous Vehicles and Driver Assistance Systems
Navigate the future of mobility and master the intelligent algorithms powering the next generation of transportation. Artificial Intelligence for Autonomous Vehicles and Driver Assistance Systems provides a definitive, engineering-first roadmap to the integration of AI within modern vehicular networks. Learn how to move beyond basic automation to high-performance, cognitive driving systems—bridging the gap between raw sensor data and real-time decision-making—ensuring your technical expertise remains at the forefront of the 2026 automotive revolution.
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What You Will Learn:
Foundations of ADAS & Autonomous Logic: Master the core architectures of Advanced Driver Assistance Systems (ADAS) and the hierarchical AI models required for Level 4 and Level 5 autonomy.
Sensor Fusion & Computer Vision: Step-by-step guidance on integrating LiDAR, RADAR, and high-resolution cameras to create a unified, 360-degree environmental perception.
V2X & Wireless Networking: Discover how AI optimizes Vehicle-to-Everything (V2X) communications, ensuring low-latency data exchange for enhanced road safety and traffic efficiency.
Deep Learning for Path Planning: Learn advanced techniques for utilizing reinforcement learning and neural networks to predict obstacle behavior and execute safe navigation in complex urban environments.
Who This Book is For: This professional-grade guide is essential for AI Engineers, Automotive Researchers, and Embedded Systems Architects. It is an invaluable resource for any technical lead—including those building security-focused monitoring systems for projects like Smart Guard—aiming to master the real-time processing and information security protocols required for mission-critical autonomous hardware.
Product Details:
Format: Digital PDF Download
Series: Wireless Communications and Networking Technologies
Publisher: Taylor & Francis (CRC Press)
ISBN-13: 9781032856872
ISBN-10: 1032856874
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