AI & Autonomous Vehicles

The provided text consists of excerpts from a comprehensive volume on AI-enabled technologies for autonomous and connected vehicles, focusing on the intersection of artificial intelligence, transportation infrastructure, and mobile connectivity. The sources detail the six levels of driving automation and emphasize how deep learning drives core functions such as environmental perception, path planning, and real-time decision-making. Specific research highlights include the use of lean sensor packages for truck platooning, 3D object detection through LiDAR and camera fusion, and the importance of V2X communication for traffic coordination. Beyond hardware and software, the text addresses critical systemic challenges such as automotive cybersecurity, energy efficiency, and the socioeconomic impacts of emerging mobility markets. Ultimately, the collection serves as a technical roadmap for achieving safer, more efficient transportation through the integration of intelligent vehicle systems and big data analytics.