Autonomous Driving Network

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Autonomous Driving Network

Author : Wenshuan Dang
Publisher : CRC Press
ISBN 13 : 1003826385
Total Pages : 396 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Autonomous Driving Network by : Wenshuan Dang

Download or read book Autonomous Driving Network written by Wenshuan Dang and published by CRC Press. This book was released on 2024-01-17 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aiming to outline the vision of realizing automated and intelligent communication networks in the era of intelligence, this book describes the development history, application scenarios, theories, architectures, and key technologies of Huawei's Autonomous Driving Network (ADN) solution. In the book, the authors explain the design of the top-level architecture, hierarchical architecture (ANE, NetGraph, and AI Native NE), and key feature architecture (distributed AI and endogenous security) that underpin Huawei's ADN solution. The book delves into various key technologies, including trustworthy AI, distributed AI, digital twin, network simulation, digitization of knowledge and expertise, human-machine symbiosis, NE endogenous intelligence, and endogenous security. It also provides an overview of the standards and level evaluation methods defined by industry and standards organizations, and uses Huawei's ADN solution as an example to illustrate how to implement AN. This book is an essential reference for professionals and researchers who want to gain a deeper understanding of automated and intelligent communication networks and their applications.

Autonomous and Connected Vehicles

Author : Dominique Paret
Publisher : John Wiley & Sons
ISBN 13 : 1119816122
Total Pages : 420 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Autonomous and Connected Vehicles by : Dominique Paret

Download or read book Autonomous and Connected Vehicles written by Dominique Paret and published by John Wiley & Sons. This book was released on 2022-03-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Deep Learning and Computer Vision for Self-Driving Cars

Author : Sumit Ranjan
Publisher : Packt Publishing Ltd
ISBN 13 : 1838647023
Total Pages : 320 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Applied Deep Learning and Computer Vision for Self-Driving Cars by : Sumit Ranjan

Download or read book Applied Deep Learning and Computer Vision for Self-Driving Cars written by Sumit Ranjan and published by Packt Publishing Ltd. This book was released on 2020-08-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook Description Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries. What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is for If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.

Internet of Vehicles and its Applications in Autonomous Driving

Author : Nishu Gupta
Publisher : Springer Nature
ISBN 13 : 3030463354
Total Pages : 193 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Internet of Vehicles and its Applications in Autonomous Driving by : Nishu Gupta

Download or read book Internet of Vehicles and its Applications in Autonomous Driving written by Nishu Gupta and published by Springer Nature. This book was released on 2020-09-18 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an insight on the importance that Internet of Vehicles (IoV) solutions can have in taking care of vehicular safety through internetworking and automation. Key features of the book are the inclusion and elaboration of recent and emerging developments in various specializations of intelligent transportation systems and their solutions by incorporating IoT (Internet of Things) and IoV. This book presents to its readers useful IoV applications and architectures that cater to their improved driving requirements and lead towards autonomous driving. The application domains have a large range in which vehicular networking, communication technology, sensor devices, computing materials and devices, IoT communication, vehicular and on-road safety, data security and other topics are included.

Autonomous Driving

Author : Markus Maurer
Publisher : Springer
ISBN 13 : 3662488477
Total Pages : 706 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Autonomous Driving by : Markus Maurer

Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".

Cellular V2X for Connected Automated Driving

Author : Mikael Fallgren
Publisher : John Wiley & Sons
ISBN 13 : 1119692644
Total Pages : 340 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Cellular V2X for Connected Automated Driving by : Mikael Fallgren

Download or read book Cellular V2X for Connected Automated Driving written by Mikael Fallgren and published by John Wiley & Sons. This book was released on 2021-04-19 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: CELLULAR V2X FOR CONNECTED AUTOMATED DRIVING A unique examination of cellular communication technologies for connected automated driving, combining expert insights from telecom and automotive industries as well as technical and scientific knowledge from industry and academia Cellular vehicle-to-everything (C-V2X) technologies enable vehicles to communicate both with the network, with each other, and with other road users using reliable, responsive, secure, and high-capacity communication links. Cellular V2X for Connected Automated Driving provides an up-to-date view of the role of C-V2X technologies in connected automated driving (CAD) and connected road user (CRU) services, such as advanced driving support, improved road safety, infotainment, over-the-air software updates, remote driving, and traffic efficiency services enabling the future large-scale transition to self-driving vehicles. This timely book discusses where C-V2X technology is situated within the increasingly interconnected ecosystems of the mobile communications and automotive industries. An expert contributor team from both industry and academia explore potential applications, business models, standardization, spectrum and channel modelling, network enhancements, security and privacy, and more. Broadly divided into two parts—introductory and advanced material—the text first introduces C-V2X technology and introduces a variety of use cases and opportunities, requiring no prerequisite technical knowledge. The second part of the book assumes a basic understanding of the field of telecommunications, presenting technical descriptions of the radio, system aspects, and network design for the previously discussed applications. This up-to-date resource: Provides technical details from the finding of the European Commission H2020 5G PPP 5GCAR project, a collaborative research initiative between the telecommunications and automotive industries and academic researchers Elaborates on use cases, business models, and a technology roadmap for those seeking to shape a start-up in the area of automated and autonomous driving Provides up to date descriptions of standard specifications, standardization and industry organizations and important regulatory aspects for connected vehicles Provides technical insights and solutions for the air interface, network architecture, positioning and security to support vehicles at different automation levels Includes detailed tables, plots, and equations to clarify concepts, accompanied by online tutorial slides for use in teaching and seminars Thanks to its mix of introductory content and technical information, Cellular V2X for Connected Automated Driving is a must-have for industry and academic researchers, telecom and automotive industry practitioners, leaders, policymakers, and regulators, and university-level instructors and students. Additional resources available at the following site: Cellular V2X for Connected Automated Driving – 5GCAR

Autonomous Vehicle Technology

Author : James M. Anderson
Publisher : Rand Corporation
ISBN 13 : 0833084372
Total Pages : 214 pages
Book Rating : 4.8/5 (33 download)

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Book Synopsis Autonomous Vehicle Technology by : James M. Anderson

Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.

Intelligent Multi-Modal Data Processing

Author : Soham Sarkar
Publisher : John Wiley & Sons
ISBN 13 : 1119571383
Total Pages : 292 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Intelligent Multi-Modal Data Processing by : Soham Sarkar

Download or read book Intelligent Multi-Modal Data Processing written by Soham Sarkar and published by John Wiley & Sons. This book was released on 2021-04-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

Author : Zhijun Chen
Publisher : Elsevier
ISBN 13 : 0443273170
Total Pages : 197 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment by : Zhijun Chen

Download or read book Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment written by Zhijun Chen and published by Elsevier. This book was released on 2024-04-19 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of constructing advanced Autonomous Driving Maps. It includes coverage of such methods as: fusion target perception (based on vehicle vision and millimeter wave radar), cross-field of view object perception, vehicle motion recognition (based on vehicle road fusion information), vehicle trajectory prediction (based on improved hybrid neural network) and the driving map construction method driven by road perception fusion. An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.

Robot Learning

Author : J. H. Connell
Publisher : Springer Science & Business Media
ISBN 13 : 1461531845
Total Pages : 247 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Robot Learning by : J. H. Connell

Download or read book Robot Learning written by J. H. Connell and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action. Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration.

Networking Vehicles to Everything

Author : Markus Mueck
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501507249
Total Pages : 234 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Networking Vehicles to Everything by : Markus Mueck

Download or read book Networking Vehicles to Everything written by Markus Mueck and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-01-09 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intro -- Acknowledgments -- Contents -- Preface -- Chapter 1. Introduction -- Chapter 2. Applications and Use Cases -- Chapter 3. V2X Requirements, Standards, and Regulations -- Chapter 4. Technologies -- Chapter 5. V2X networking and connectivity -- Chapter 6. Infotainment -- Chapter 7. Software Reconfiguration -- Chapter 8. Outlook -- Appendix A -- Index

Autonomous Vehicles, Volume 2

Author : Romil Rawat
Publisher : John Wiley & Sons
ISBN 13 : 1394152612
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Autonomous Vehicles, Volume 2 by : Romil Rawat

Download or read book Autonomous Vehicles, Volume 2 written by Romil Rawat and published by John Wiley & Sons. This book was released on 2022-11-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Signal and Information Processing, Networking and Computers

Author : Yue Wang
Publisher : Springer Nature
ISBN 13 : 9811999686
Total Pages : 1257 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Signal and Information Processing, Networking and Computers by : Yue Wang

Download or read book Signal and Information Processing, Networking and Computers written by Yue Wang and published by Springer Nature. This book was released on 2023-02-23 with total page 1257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.

Driverless

Author : Hod Lipson
Publisher : MIT Press
ISBN 13 : 0262534479
Total Pages : 323 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Driverless by : Hod Lipson

Download or read book Driverless written by Hod Lipson and published by MIT Press. This book was released on 2017-09-15 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. “Smart, wide-ranging, [and] nontechnical.” —Los Angeles Times “Anyone who wants to understand what's coming must read this fascinating book.” —Martin Ford, New York Times bestselling author of Rise of the Robots In the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play. In this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road. When human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next “Apollo moment.”

Introduction to Self-Driving Vehicle Technology

Author : Hanky Sjafrie
Publisher : CRC Press
ISBN 13 : 1000711773
Total Pages : 255 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Self-Driving Vehicle Technology by : Hanky Sjafrie

Download or read book Introduction to Self-Driving Vehicle Technology written by Hanky Sjafrie and published by CRC Press. This book was released on 2019-11-27 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology, by providing genuine technical insights where other books just skim the surface. The book tackles everything from sensors and perception to functional safety and cybersecurity. It also passes on some practical know-how and discusses concrete SDV applications, along with a discussion of where this technology is heading. It will serve as a good starting point for software developers or professional engineers who are eager to pursue a career in this exciting field and want to learn more about the basics of SDV algorithms. Likewise, academic researchers, technology enthusiasts, and journalists will also find the book useful. Key Features: Offers a comprehensive technological walk-through of what really matters in SDV development: from hardware, software, to functional safety and cybersecurity Written by an active practitioner with extensive experience in series development and research in the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Covers theoretical fundamentals of state-of-the-art SLAM, multi-sensor data fusion, and other SDV algorithms. Includes practical information and hands-on material with Robot Operating System (ROS) and Open Source Car Control (OSCC). Provides an overview of the strategies, trends, and applications which companies are pursuing in this field at present as well as other technical insights from the industry.

The 5G Myth

Author : William Webb
Publisher : De-G Press
ISBN 13 : 1547401184
Total Pages : 162 pages
Book Rating : 4.5/5 (474 download)

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Book Synopsis The 5G Myth by : William Webb

Download or read book The 5G Myth written by William Webb and published by De-G Press. This book was released on 2018-12-03 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5G Myth explains why the vision of 5G, the next generation in mobile telephony, heralded as a huge advance in global connectivity, is flawed and sets out a better vision for a connected future. It explains why insufficient technological advances and inadequate profitability will be problems in the widespread implementation of 5G. The book advocates a focus on consistent connectivity everywhere rather than fast speeds in city centers. William Webb looks back at the transitions through previous generations of mobile telephony and shows what simple extrapolations of trends would predict for 5G. He discusses whether the increases in speed and capacity promised by 5G are needed; if the required technology is available; whether a sound business case can be made for the deployment; and asks why, given this, the industry appears so supportive of 5G. He then puts forth the argument in favor of consistent connectivity of around 10Mbits/s everywhere as a more compelling vision and shows how it can be delivered via a mix of 4G and Wi-Fi. Subscribers to The Economist can access an article featuring this book at https: //www.economist.com/business/2019/08/24/vodafones-search-for-the-g-spot

Internet of Things in Autonomous Car Industry. An Overview

Author : Juhyuk Park
Publisher : GRIN Verlag
ISBN 13 : 3346342220
Total Pages : 8 pages
Book Rating : 4.3/5 (463 download)

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Book Synopsis Internet of Things in Autonomous Car Industry. An Overview by : Juhyuk Park

Download or read book Internet of Things in Autonomous Car Industry. An Overview written by Juhyuk Park and published by GRIN Verlag. This book was released on 2021-02-09 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic Paper from the year 2018 in the subject Computer Sciences - Internet of Things, IOT, grade: A, Columbia Universität New York, language: English, abstract: This short paper discusses the appearance of IoT in the car industry. Therefor a brief history of autonomous cars is given. The origin of IoT usage within vehicle industry date back in early 1958, where the idea of the self-driving car became prominent. It was not until 1995 during the embedded era that different auto companies started exploring the connectivity aspect of the car and the roads, for instance, GM OnStar. But the idea was never implemented because of its capital-intensive involvement, lack of competition and use cases at the time. The first experience of true IoT was seen during infotainment era which ranges from 2007 to 2012. During this era, the car technology such as Ford Sync and GM Mylink took advantage of wireless connectivity aspect which was enabled by the wireless IoT technology. It was at this time the IoT usage in connecting autonomous car through smart cities and different car networks became prevalent.