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From AI to Autonomous and Connected Vehicles

From AI to Autonomous and Connected Vehicles

Author: Abdelaziz Bensrhair

Publisher: John Wiley & Sons

ISBN: 9781786307279

Category: Computers

Page: 290

View: 634

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The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribute to the autonomous and connected vehicles of tomorrow. With the development of automated mobility, it becomes necessary to design a series of modules which, from the data produced by on-board or remote information sources, will enable the construction of a completely automated driving system. These modules are perception, decision and action. State-of-the-art AI techniques and their potential applications in the field of autonomous vehicles are described. Perception systems, focusing on visual sensors, the decision module and the prototyping, testing and evaluation of ADAS systems are all presented for effective implementation on autonomous and connected vehicles. This book also addresses cooperative systems, such as pedestrian detection, as well as the legal issues in the use of autonomous vehicles in open environments.

From AI to Autonomous and Connected Vehicles

From AI to Autonomous and Connected Vehicles

Author: Abdelaziz Bensrhair

Publisher: John Wiley & Sons

ISBN: 9781119855484

Category: Computers

Page: 288

View: 755

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The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribute to the autonomous and connected vehicles of tomorrow. With the development of automated mobility, it becomes necessary to design a series of modules which, from the data produced by on-board or remote information sources, will enable the construction of a completely automated driving system. These modules are perception, decision and action. State-of-the-art AI techniques and their potential applications in the field of autonomous vehicles are described. Perception systems, focusing on visual sensors, the decision module and the prototyping, testing and evaluation of ADAS systems are all presented for effective implementation on autonomous and connected vehicles. This book also addresses cooperative systems, such as pedestrian detection, as well as the legal issues in the use of autonomous vehicles in open environments.

AI-enabled Technologies for Autonomous and Connected Vehicles

AI-enabled Technologies for Autonomous and Connected Vehicles

Author: Yi Lu Murphey

Publisher: Springer Nature

ISBN: 9783031067808

Category: Technology & Engineering

Page: 563

View: 986

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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.

AI-enabled Technologies for Autonomous and Connected Vehicles

AI-enabled Technologies for Autonomous and Connected Vehicles

Author: Yi Lu Murphey

Publisher: Springer

ISBN: 3031067797

Category: Technology & Engineering

Page: 0

View: 789

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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.

Autonomous and Connected Vehicles

Autonomous and Connected Vehicles

Author: Dominique Paret

Publisher: John Wiley & Sons

ISBN: 9781119816133

Category: Technology & Engineering

Page: 416

View: 213

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AUTONOMOUS AND CONNECTED VEHICLES Discover the latest developments in autonomous vehicles and what the future holds for this exciting technology In Autonomous and Connected Vehicles, networking experts Dominique Paret and Hassina Rebaine deliver a robust exploration of the major technological changes taking place in the field, and describe the different levels of autonomy possible with current technologies and the legal and regulatory contexts in which new autonomous vehicles will circulate. The book also includes discussions of the sensors, including infrared, ultrasound, cameras, lidar, and radar, used by modern autonomous vehicles. Readers will enjoy the intuitive descriptions of Advanced Driver Assistance Systems (ADAS), network architectures (CAN-FD, FlexRay, and Backbone Ethernet), and software that power current and future autonomous vehicles. The authors also discuss how ADAS can be fused with data flowing over newer and faster network architectures and artificial intelligence to create greater levels of autonomy. The book also includes: A thorough introduction to the buzz and hype surrounding autonomous and connected vehicles, including a brief history of the autonomous vehicle Comprehensive explorations of common issues affecting autonomous and connected vehicles, including regulatory guidelines, legislation, relevant norms and standards, and insurance issues Practical discussions of autonomous vehicle sensors, from DAS to ADAS and HADAS, and VA L3 to L5 In-depth examinations of networks and architecture, including discussions of data fusion, artificial intelligence, and hardware architecture in vehicles Perfect for graduate and undergraduate students in programs dealing with the intersection of wireless communication technologies and vehicles, Autonomous and Connected Vehicles is also a must-read reference for industry professionals and researchers seeking a one-stop reference for the latest developments in vehicle communications technology.

The Accelerating Transport Innovation Revolution

The Accelerating Transport Innovation Revolution

Author: George Giannopoulos

Publisher: Elsevier

ISBN: 9780128138052

Category: Social Science

Page: 385

View: 781

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The Accelerating Transport Innovation Revolution: A Global, Case Study-based Assessment of Current Experience, Cross-sectorial Effects and Socioeconomic Transformations, offers a comprehensive view of current state-of-the-art and practices around the world to create innovation on a revolutionary scale and connect research to commercial exploitation of its results. It offers a fascinating new model of the innovation process based on theories of biological ecosystems, general systems theory and basins of attraction (represented through space-time graphs well known in mathematics). Furthermore, it considers – through a number of dedicated chapters - key issues and elements of innovation ecosystems, such as: Causal Factors and system constraints affecting the development and sustainability of innovation ecosystems (Chapter 4); Review of innovation organization and governance in key countries and regions (Chapter 5); the role of technological "Spillovers" (Chapter 6); Collection and use of data for innovation monitoring and benchmarking (Chapter 7); Intellectual Property protection between competing ecosystems (Chapter 8); Economics of innovation (Chapter 9); Public and private sector involvement in Transport innovation creation (Chapter 10); the role of the individual entrepreneur - innovator in energizing change (Chapter 11). Finally, in Chapter 12, there is a thorough summary of key findings. This book uses a paradigmatic approach to augment the innovation ecosystem model of innovation that integrates beliefs and learning into the innovation ecosystems model. It therefore includes ten case studies from the U.S., Europe and Asia, detailing how innovation is created across continents and different ecosystems and what are the critical lessons to be learned. It does this, effectively, at five different levels of analysis i.e. the individual innovator / entrepreneur level, the organization level (government agency or company), the regional ecosystem level, the nation-state level and the global – systemic or international level. Each level of analysis, reveals unique features of the innovation landscape and the ten case studies allow the reader to assess when and where specific "enablers" are facilitating innovation especially on a revolutionary scale. The need for the book came from the realization that despite the billions of dollars spent on various research programs over the past 20 years (especially in the public sector), there have been few clear and tangible efforts directed at exploring how innovation production increasingly occurs and the critical factors necessary to sustain large-scale, revolutionary change as the future unfolds. Thus, a primary theme of the book is that understanding how research results translate into market innovation and implementation, especially understanding the nature of revolutionary innovation, is as important as the creation of innovations themselves. While the focus of the book is on Transportation, the concepts and recommendations presented apply to other fields too. Formulates and presents a workable and comprehensive new model of innovation Defines and analyzes many concepts and notions related to innovation, research and market implementation Examines the critical factors affecting innovation production and successful commercial implementation of research results Examines organizational models of coordination, governance, data collection, process analysis and use of intellectual property tools Includes recent, well-researched and documented case studies of successful innovation ecosystems across the world mainly – but not only – in the Transport field

Autonomous Vehicles

Autonomous Vehicles

Author: A. Mary Sowjanya

Publisher: John Wiley & Sons

ISBN: 9781119871958

Category: Technology & Engineering

Page: 324

View: 565

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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.

Robots, Drones, UAVs and UGVs for Operation and Maintenance

Robots, Drones, UAVs and UGVs for Operation and Maintenance

Author: Diego Galar

Publisher: CRC Press

ISBN: 9780429839184

Category: Technology & Engineering

Page: 398

View: 941

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Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries

Autonomous Vehicles

Autonomous Vehicles

Author: George Dimitrakopoulos

Publisher: Elsevier

ISBN: 9780323901376

Category: Transportation

Page: 202

View: 590

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Autonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intelligence tools, needed infrastructure, communication protocols, and interaction with non-autonomous vehicles. It analyses the impacts of autonomous driving using a scenario-based approach to quantify the effects on the overall economy and affected sectors. The book assess from a qualitative and quantitative approach, the future of autonomous driving, and the main drivers, challenges, and barriers. The book investigates whether individuals are ready to use advanced automated driving vehicles technology, and to what extent we as a society are prepared to accept highly automated vehicles on the road. Building on the technologies, opportunities, strengths, threats, and weaknesses, Autonomous Vehicles: Technologies, Regulations, and Societal Impacts discusses the needed frameworks for automated vehicles to move inside and around cities. The book concludes with a discussion on what in applications comes next, outlining the future research needs. Broad, interdisciplinary and systematic coverage of the key issues in autonomous driving and vehicles Examines technological impact on society, governance, and the economy as a whole Includes foundational topical coverage, case studies, objectives, and glossary

The AI Advantage

The AI Advantage

Author: Thomas H. Davenport

Publisher: MIT Press

ISBN: 9780262039178

Category: Business & Economics

Page: 243

View: 827

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Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

Vehicle Systems from an Artificial Intelligence Perspective

Vehicle Systems from an Artificial Intelligence Perspective

Author: Pavel Nedoma

Publisher: Eliva Press

ISBN: 9994983989

Category:

Page: 0

View: 883

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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.

Fundamentals of Connected and Automated Vehicles

Fundamentals of Connected and Automated Vehicles

Author: Jeffrey Wishart

Publisher: SAE International

ISBN: 9780768099805

Category: Technology & Engineering

Page: 273

View: 324

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The automotive industry is transforming to a greater degree that has occurred since Henry Ford introduced mass production of the automobile with the Model T in 1913. Advances in computing, data processing, and artificial intelligence (deep learning in particular) are driving the development of new levels of automation that will impact all aspects of our lives including our vehicles. What are Connected and Automated Vehicles (CAVs)? What are the underlying technologies that need to mature and converge for them to be widely deployed? Fundamentals of Connected and Automated Vehicles is written to answer these questions, educating the reader with the information required to make informed predictions of how and when CAVs will impact their lives. Topics covered include: History of Connected and Automated Vehicles, Localization, Connectivity, Sensor and Actuator Hardware, Computer Vision, Sensor Fusion, Path Planning and Motion Control, Verification and Validation, and Outlook for future of CAVs.