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Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars

2017-07
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Release : 2017-07
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Kind : eBook
Book Rating : 172/5 ( reviews)

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Book Synopsis Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars by : Lance Eliot

Download or read book Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars written by Lance Eliot. This book was released on 2017-07. Available in PDF, EPUB and Kindle. Book excerpt: This ground-breaking and insider look at cybernetic self-driving cars provides a state-of-the-art exploration of how advances in AI and machine learning are enabling the advent of self-driving cars.

Artificial Intelligence for Autonomous Vehicles

2024-02-27 Computers
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Release : 2024-02-27
Genre : Computers
Kind : eBook
Book Rating : 63X/5 ( reviews)

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Book Synopsis Artificial Intelligence for Autonomous Vehicles by : Sathiyaraj Rajendran

Download or read book Artificial Intelligence for Autonomous Vehicles written by Sathiyaraj Rajendran. This book was released on 2024-02-27. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.

Explainable Artificial Intelligence for Autonomous Vehicles

2024-08-14 Computers
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Release : 2024-08-14
Genre : Computers
Kind : eBook
Book Rating : 297/5 ( reviews)

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Book Synopsis Explainable Artificial Intelligence for Autonomous Vehicles by : Kamal Malik

Download or read book Explainable Artificial Intelligence for Autonomous Vehicles written by Kamal Malik. This book was released on 2024-08-14. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Autonomous Vehicles, Volume 1

2022-11-30 Technology & Engineering
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Release : 2022-11-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 964/5 ( reviews)

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Book Synopsis Autonomous Vehicles, Volume 1 by : Romil Rawat

Download or read book Autonomous Vehicles, Volume 1 written by Romil Rawat. This book was released on 2022-11-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Nonlinear Approaches in Engineering Applications

2019-08-06 Technology & Engineering
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Release : 2019-08-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 635/5 ( reviews)

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Book Synopsis Nonlinear Approaches in Engineering Applications by : Reza N. Jazar

Download or read book Nonlinear Approaches in Engineering Applications written by Reza N. Jazar. This book was released on 2019-08-06. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the latest applications of nonlinear approaches in engineering and addresses a range of scientific problems. Examples focus on issues in automotive technology, including automotive dynamics, control for electric and hybrid vehicles, and autodriver algorithm for autonomous vehicles. Also included are discussions on renewable energy plants, data modeling, driver-aid methods, and low-frequency vibration. Chapters are based on invited contributions from world-class experts who advance the future of engineering by discussing the development of more optimal, accurate, efficient, cost, and energy effective systems. This book is appropriate for researchers, students, and practising engineers who are interested in the applications of nonlinear approaches to solving engineering and science problems. Presents a broad range of practical topics and approaches; Explains approaches to better, safer, and cheaper systems; Emphasises automotive applications, physical meaning, and methodologies.

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