Autonomous Vehicles and Systems: A Technological and Societal Perspective

This book covers multidisciplinary research on autonomous vehicle systems (AVS), including AI, deep learning, gesture recognition, multi-sensor fusion, teleoperation, simulation, and ethics. The field is rapidly advancing with numerous contributions from diverse branches of knowledge.

Format: Hardback
Length: 200 pages
Publication date: 01 October 2023
Publisher: River Publishers

This comprehensive book delves into the realm of multidisciplinary research, encompassing a wide range of aspects related to autonomous vehicle systems (AVS). The field of AVS is experiencing a remarkable surge in progress, with numerous advancements being reported on a regular basis. The contributions to this field originate from diverse branches of knowledge, resulting in a truly interdisciplinary domain of research and development. The book explores a diverse array of topics, including:

Artificial Intelligence and Deep Learning for AVS: This section explores the use of AI and deep learning techniques in autonomous vehicle systems. It discusses the development of neural networks for autonomous steering, object detection, and decision-making.

Autonomous Steering through Deep Neural Networks: This chapter focuses on the implementation of deep neural networks for autonomous steering. It discusses the advantages of deep learning in terms of accuracy, efficiency, and adaptability.

Adversarial Attacks and Defenses on Autonomous Vehicles: This section addresses the security challenges posed by autonomous vehicles. It explores various adversarial attacks, such as spoofing, tampering, and hacking, and discusses defense strategies to mitigate these risks.

Gesture Recognition for Vehicle Control: This chapter explores the use of gesture recognition technology in vehicle control. It discusses the challenges of gesture recognition, such as gesture ambiguity and noise, and explores innovative approaches to improve accuracy and reliability.

Multi-Sensor Fusion in Autonomous Vehicles: This section discusses the integration of multiple sensors, such as cameras, lidar, and radar, in autonomous vehicles. It explores the advantages of multi-sensor fusion in terms of improved perception, decision-making, and safety.

Teleoperation Technologies for AVS: This chapter explores the use of teleoperation technologies in AVS. It discusses the advantages of remote control and teleoperation in scenarios such as emergency response, remote maintenance, and training.

Simulation and Game Theoretic Decision Making for AVS: This section discusses the use of simulation and game theoretic decision-making techniques in AVS. It explores the development of simulation models, optimization algorithms, and decision-making strategies for autonomous vehicles.

Path Following Control System Design for AVS: This chapter focuses on the design of path-following control systems for autonomous vehicles. It discusses the principles of path following, the development of control algorithms, and the consideration of environmental factors.

Hybrid Cloud and Edge Solutions for AVS: This section explores the use of hybrid cloud and edge solutions in AVS. It discusses the advantages of distributed computing, edge computing, and cloud computing in terms of scalability, reliability, and performance.

Ethics of AVS: This chapter explores the ethical considerations associated with autonomous vehicle systems. It discusses the potential risks and benefits of AVS, the role of policymakers and stakeholders, and the need for ethical guidelines and regulations.

In conclusion, this book provides a comprehensive overview of the multidisciplinary research and developments in autonomous vehicle systems. It serves as a valuable resource for researchers, engineers, policymakers, and industry professionals interested in advancing the field of AVS. The contributions to this field come from a wide range of expertise, making it a truly exciting and dynamic area of research. As the technology continues to evolve, we can expect to see even more groundbreaking advancements in the years to come.

Dimension: 234 x 156 (mm)
ISBN-13: 9788770228855