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Author: Pavel Nedoma
Publisher: Eliva Press
ISBN: 9789994983988
Category :
Languages : en
Pages : 0
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Book Description
This book is devoted to various forms of autonomous driving (AD) that will drastically transform the transportation of people and goods and enable urban areas to be redesigned, creating more livable and enjoyable spaces, thus meeting several demands simultaneously. Artificial intelligence (AI) takes a prominent position among the technological contributions making automated and connected driving safe, comfortable, efficient, and affordable. AI has found applications in various domains, from safety systems and simulation to monitoring the status of the driver and passengers. Some of these innovative aspects are discussed in this work. The as-yet unresolved technical challenges and constant endeavours around the world to advance this exciting technology have motivated the creation of this book. The book is structured into eight consequential chapters. It highlights the importance of control engineering, recent advances in environment sensing and perception, in-vehicle architectures, and reliable power computing as well as active and functional safety in AD. There is also a strong focus on validating and testing AD functions. The work concludes with a sample of relevant industry-driven research projects and industrial initiatives. The authors firmly believe that this book on the application of AI in autonomous vehicles (AV) provides a comprehensive overview of current and emerging technical challenges in the field and gives invaluable insights into industrial demands. The authors also hope the reader will be inspired by the collection of technical articles, selected project summaries, and introductions to renowned national and international initiatives.
Author: Pavel Nedoma
Publisher: Eliva Press
ISBN: 9789994983988
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
This book is devoted to various forms of autonomous driving (AD) that will drastically transform the transportation of people and goods and enable urban areas to be redesigned, creating more livable and enjoyable spaces, thus meeting several demands simultaneously. Artificial intelligence (AI) takes a prominent position among the technological contributions making automated and connected driving safe, comfortable, efficient, and affordable. AI has found applications in various domains, from safety systems and simulation to monitoring the status of the driver and passengers. Some of these innovative aspects are discussed in this work. The as-yet unresolved technical challenges and constant endeavours around the world to advance this exciting technology have motivated the creation of this book. The book is structured into eight consequential chapters. It highlights the importance of control engineering, recent advances in environment sensing and perception, in-vehicle architectures, and reliable power computing as well as active and functional safety in AD. There is also a strong focus on validating and testing AD functions. The work concludes with a sample of relevant industry-driven research projects and industrial initiatives. The authors firmly believe that this book on the application of AI in autonomous vehicles (AV) provides a comprehensive overview of current and emerging technical challenges in the field and gives invaluable insights into industrial demands. The authors also hope the reader will be inspired by the collection of technical articles, selected project summaries, and introductions to renowned national and international initiatives.
Author: Kamal Malik
Publisher: CRC Press
ISBN: 1040099297
Category : Computers
Languages : en
Pages : 205
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Book Description
Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance. This book: Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems. Showcases challenges such as integration with existing systems, privacy, and security concerns while implementing explainable artificial intelligence in autonomous vehicles. Covers explainable artificial intelligence for resource management, optimization, adaptive control, and decision-making. Explains important topics such as vehicle-to-vehicle (V2V) communication, vehicle-to-infrastructure (V2I) communication, remote monitoring, and control. Emphasizes enhancing safety, reliability, overall system performance, and improving user trust in autonomous vehicles. The book is intended to provide researchers, engineers, and practitioners with a comprehensive understanding of XAI's key concepts, challenges, and applications in the context of autonomous vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering.
Author: Raj Madhavan
Publisher: Nova Publishers
ISBN: 9781600212604
Category : Technology & Engineering
Languages : en
Pages : 374
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Book Description
This book presents new research on autonomous mobility capabilities and shows how technological advances can be anticipated in the coming two decades. An in-depth description is presented on the theoretical foundations and engineering approaches that enable these capabilities. Chapter 1 provides a brief introduction to the 4D/RCS reference model architecture and design methodology that has proven successful in guiding the development of autonomous mobility systems. Chapters 2 to 7 provide more detailed descriptions of research that has been conducted and algorithms that have been developed to implement the various aspects of the 4D/RCS reference model architecture and design methodology. Chapters 8 and 9 discuss applications, performance measures, and standards. Chapter 10 provides a history of Army and DARPA research in autonomous ground mobility. Chapter 11 provides a perspective on the potential future developments in autonomous mobility.
Author: Romil Rawat
Publisher: John Wiley & Sons
ISBN: 1119871964
Category : Technology & Engineering
Languages : en
Pages : 324
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Book Description
AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.
Author: Yi Lu Murphey
Publisher: Springer Nature
ISBN: 3031067800
Category : Technology & Engineering
Languages : en
Pages : 563
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Book Description
This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies.
Author: Josep Aulinas
Publisher: CRC Press
ISBN: 1000417166
Category : Computers
Languages : en
Pages : 129
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Book Description
Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. In fact, cars inhabit one of just a few domains where you will find many AI innovations packed into a single product. AI for Cars provides a brief guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and onto deep learning, all within the automobile world. From pedestrian detection to driver monitoring to recommendation engines, the book discusses the background, research and progress thousands of talented engineers and researchers have achieved thus far, and their plans to deploy this life-saving technology all over the world.
Author: Ishwar K. Sethi
Publisher: CRC Press
ISBN: 1003810675
Category : Technology & Engineering
Languages : en
Pages : 464
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Book Description
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
Author: Loveleen Gaur
Publisher: Springer Nature
ISBN: 3031096444
Category : Computers
Languages : en
Pages : 103
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Book Description
Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence. Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment. The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.
Author: Maurizio Bielli
Publisher: VSP
ISBN: 9789067641715
Category : Technology & Engineering
Languages : en
Pages : 340
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Book Description
In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI
Author: A. Mary Sowjanya
Publisher: John Wiley & Sons
ISBN: 1119871956
Category : Technology & Engineering
Languages : en
Pages : 324
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Book Description
AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.
