Ai Enabled Technologies For Autonomous And Connected Vehicles

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AI-enabled Technologies for Autonomous and Connected Vehicles

Author : Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta
Publisher : Springer Nature
Page : 563 pages
File Size : 42,7 Mb
Release : 2022-09-07
Category : Technology & Engineering
ISBN : 9783031067808

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AI-enabled Technologies for Autonomous and Connected Vehicles by Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta Pdf

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

Author : Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta
Publisher : Springer
Page : 0 pages
File Size : 43,5 Mb
Release : 2022-09-27
Category : Technology & Engineering
ISBN : 3031067797

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AI-enabled Technologies for Autonomous and Connected Vehicles by Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta Pdf

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.

Smart Transportation

Author : Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo
Publisher : CRC Press
Page : 224 pages
File Size : 55,7 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9781000405651

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Smart Transportation by Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo Pdf

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.

Artificial Intelligence for Autonomous Vehicles

Author : Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : John Wiley & Sons
Page : 208 pages
File Size : 48,9 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9781119847632

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Artificial Intelligence for Autonomous Vehicles by Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

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.

Self-Driving Vehicles and Enabling Technologies

Author : Anonim
Publisher : BoD – Books on Demand
Page : 198 pages
File Size : 42,8 Mb
Release : 2021-09-22
Category : Transportation
ISBN : 9781838810672

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Self-Driving Vehicles and Enabling Technologies by Anonim Pdf

This book examines the development and technical progress of self-driving vehicles in the context of the Vision Zero project from the European Union, which aims to eliminate highway system fatalities and serious accidents by 2050. It presents the concept of Autonomous Driving (AD) and discusses its applications in transportation, logistics, space, agriculture, and industrial and home automation.

AI Enabled IoT for Electrification and Connected Transportation

Author : Naveenkumar Marati,Akash Kumar Bhoi,Victor Hugo C. De Albuquerque,Akhtar Kalam
Publisher : Springer Nature
Page : 257 pages
File Size : 53,7 Mb
Release : 2022-06-04
Category : Technology & Engineering
ISBN : 9789811921841

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AI Enabled IoT for Electrification and Connected Transportation by Naveenkumar Marati,Akash Kumar Bhoi,Victor Hugo C. De Albuquerque,Akhtar Kalam Pdf

This book presents an overview of artificial intelligence (AI) in the automotive section, especially in the modern era of green energy-based electrification of vehicles and smart transportation systems. The book also discusses different Internet of Things aspects involved in the automotive domain with AI. The book presents autonomous driving systems, advanced driver assistance systems (ADAS), autonomy, AI involvement, and machine learning techniques with challenges in electrification, prognostics, and diagnostics. AI and IoT are two emerging technologies, and their importance in other modern technology electrification on transportation, connected vehicle segment are discussed thoroughly in this book with different topologies. It also presents AI applications in the charging profile prediction, state of charge, state of health, battery lifetime, and battery temperature detection in dynamic conditions. Different algorithms are also given in the book to discuss the nearest point charging station for electric vehicle users. The book also discusses cybersecurity issues and challenges in the real-time environment for AI implementation, IoT in transportation, and autonomous driving. The other aspects of telematics, smart sensors for the implementation of the IoT, and AI are also discussed, especially in guidance and control aspects. The book will be useful for the researchers, practitioners, and industry people working in AI, IoT in the electrification and transportation segment.

Autonomous Vehicles

Author : George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos
Publisher : Elsevier
Page : 202 pages
File Size : 46,9 Mb
Release : 2021-04-15
Category : Transportation
ISBN : 9780323901383

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Autonomous Vehicles by George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos Pdf

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

From AI to Autonomous and Connected Vehicles

Author : Abdelaziz Bensrhair,Thierry Bapin
Publisher : John Wiley & Sons
Page : 290 pages
File Size : 40,5 Mb
Release : 2021-09-22
Category : Computers
ISBN : 9781786307279

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From AI to Autonomous and Connected Vehicles by Abdelaziz Bensrhair,Thierry Bapin Pdf

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.

Autonomous Vehicles, Volume 1

Author : Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 40,6 Mb
Release : 2022-11-30
Category : Technology & Engineering
ISBN : 9781119871965

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Autonomous Vehicles, Volume 1 by Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram Pdf

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.

Autonomous and Connected Vehicles

Author : Dominique Paret,Hassina Rebaine
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 49,8 Mb
Release : 2022-03-28
Category : Technology & Engineering
ISBN : 9781119816126

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Autonomous and Connected Vehicles by Dominique Paret,Hassina Rebaine Pdf

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.

Unsettled Technology Areas in Autonomous Vehicle Test and Validation

Author : Rahul Razdan
Publisher : Sae Edge Research Report
Page : 32 pages
File Size : 51,5 Mb
Release : 2019-06-12
Category : Computers
ISBN : 1468600982

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Unsettled Technology Areas in Autonomous Vehicle Test and Validation by Rahul Razdan Pdf

Automated driving system (ADS) technology and ADS-enabled/operated vehicles - commonly referred to as automated vehicles and autonomous vehicles (AVs) - have the potential to impact the world as significantly as the internal combustion engine. Successful ADS technologies could fundamentally transform the automotive industry, civil planning, the energy sector, and more. Rapid progress is being made in artificial intelligence (AI), which sits at the core of and forms the basis of ADS platforms. Consequently, autonomous capabilities such as those afforded by advanced driver assistance systems (ADAS) and other automation solutions are increasingly becoming available in the marketplace. To achieve highly or fully automated or autonomous capabilities, a major leap forward in the validation of these ADS technologies is required. Without this critical cog, helping to ensure the safety and reliability of these systems and platforms, the full capabilities of ADS technology will not be realized. This paper explores the ADS validation challenge by reviewing existing approaches and examining the effectiveness of those approaches, presenting critical techniques required to bring safe and effective solutions to market, discussing unsettled topics, and suggesting next steps for industry stakeholders to consider as they work to advance the ADS ecosystem. NOTE: SAE EDGE(TM) Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE(TM) Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE(TM) Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.

Autonomous Vehicles and the Law

Author : Hannah YeeFen Lim
Publisher : Edward Elgar Publishing
Page : 160 pages
File Size : 54,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9781788115117

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Autonomous Vehicles and the Law by Hannah YeeFen Lim Pdf

Autonomous vehicles have attracted a great deal of attention in the media, however there are some inconsistencies between the perception of autonomous vehicles’ capabilities and their actual functions. This book provides an accessible explanation of how autonomous vehicles function, suggesting appropriate regulatory responses to the existing and emerging technology.

AI for Cars

Author : Josep Aulinas,Hanky Sjafrie
Publisher : CRC Press
Page : 128 pages
File Size : 47,6 Mb
Release : 2021-07-28
Category : Computers
ISBN : 9781000417166

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AI for Cars by Josep Aulinas,Hanky Sjafrie Pdf

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.

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems

Author : Aparna Kumari,Sudeep Tanwar
Publisher : Elsevier
Page : 552 pages
File Size : 43,5 Mb
Release : 2024-06-01
Category : Technology & Engineering
ISBN : 9780443238154

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Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems by Aparna Kumari,Sudeep Tanwar Pdf

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems: Fundamentals, Technologies, and Solutions is an essential reference for energy researchers, graduate students and engineers who aim to understand the opportunities offered by artificial intelligence for the integration of electric vehicles into smart grids. This book begins by building foundational knowledge for the reader, covering the essentials of artificial intelligence and its applications for electric vehicles in a clear and holistic manner. Next, it breaks down two essential areas of application in more detail: energy management (from to energy harvesting to demand response and complex forecasting), and market strategies (including peer-to-peer, vehicle-to-vehicle, and vehicle-to-everything trading, plus the cyber-security implications). A final part provides detailed case studies and close consideration of challenges, including code and data sets for replication of techniques. Providing a clear pathway from fundamentals to practical implementation, Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems will provide multidisciplinary guidance for implementing this cutting-edge technology in the energy systems of the future. Supports fundamental understanding of artificial intelligence and its opportunities for energy system specialists Collects the real-world experiences of global experts Enables practical implementation of artificial intelligence strategies that support renewable energy integration across energy systems, markets, and grids

Autonomous and Connected Heavy Vehicle Technology

Author : Rajalakshmi Krishnamurthi,Adarsh Kumar,Sukhpal Singh Gill
Publisher : Academic Press
Page : 456 pages
File Size : 41,5 Mb
Release : 2022-01-18
Category : Technology & Engineering
ISBN : 9780323907156

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Autonomous and Connected Heavy Vehicle Technology by Rajalakshmi Krishnamurthi,Adarsh Kumar,Sukhpal Singh Gill Pdf

Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions. The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts. Covers state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, and vehicle software and hardware integration Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysis Provides complete product development, commercial deployment, technological and performing costs and scaling needs