Autonomous Vehicles and Systems: A Technological and Societal Perspective [Hardcover]

This book captures multidisciplinary research encompassing various facets of autonomous vehicle systems (AVS) research and developments. The AVS field is rapidly moving towards realization with numerous advances continually reported. The contributions to this field come from widely varying branches of knowledge, making it a truly multidisciplinary area of research and development. The topics covered in the book include:

• AI and deep learning for AVS
• Autonomous steering through deep neural networks
• Adversarial attacks and defenses on autonomous vehicles
• Gesture recognition for vehicle control
• Multi-sensor fusion in autonomous vehicles
• Teleoperation technologies for AVS
• Simulation and game theoretic decision making for AVS
• Path following control system design for AVS
• Hybrid cloud and edge solutions for AVS
• Ethics of AVS

1. Introduction 2. Deep Learning for Autonomous Vehicles and Systems 3. Towards Autonomous Vehicles and Systems  Potentials and Challenges of Artificial Intelligence 4. Autonomous Vehicle Steering through Convolutional and Recurrent Deep Learning 5. 2D and 3D Pose Estimation for Gesture Recognition in Deep-Learning-Driven HumanVehicle LeaderFollower Systems 6. Adversarial Attacks and Defenses on Autonomous Vehicle Systems 7. Multi-sensor Fusion for Multi-target Detection and Tracking 8. Teleoperation Technologies for Enhancing Connected and Autonomous Vehicles 9. Hybrid Edge/cloud Solutions for Supporting Autonomous Vehicles 10. Game-Theoretic Decision Making for Autonomous Driving Vehicles 11. State of Modeling and Simulation in Autonomous Vehicles 12. Path Following Control System Design and Analysis for Autonomous Vehicles 13. Public Transport Travel Time Prediction using Sequential Forward Floating Selelӝ