Autonomous Driving Network

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Autonomous Driving Network

Wenshuan Dang,River Huang,Yijun Yu,Yong Zhang
Autonomous Driving Network Book PDF

Author : Wenshuan Dang,River Huang,Yijun Yu,Yong Zhang
Publisher : CRC Press
Page : 396 pages
File Size : 45,7 Mb
Release : 2024-01-17
Category : Computers
ISBN : 9781003826385

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Autonomous Driving Network by Wenshuan Dang,River Huang,Yijun Yu,Yong Zhang Pdf

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

Dominique Paret,Hassina Rebaine
Autonomous and Connected Vehicles Book PDF

Author : Dominique Paret,Hassina Rebaine
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 47,7 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.

Internet of Vehicles and its Applications in Autonomous Driving

Nishu Gupta,Arun Prakash,Rajeev Tripathi
Internet of Vehicles and its Applications in Autonomous Driving Book PDF

Author : Nishu Gupta,Arun Prakash,Rajeev Tripathi
Publisher : Springer Nature
Page : 193 pages
File Size : 50,8 Mb
Release : 2020-09-18
Category : Technology & Engineering
ISBN : 9783030463359

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Internet of Vehicles and its Applications in Autonomous Driving by Nishu Gupta,Arun Prakash,Rajeev Tripathi Pdf

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 Vehicles, Volume 2

Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Autonomous Vehicles Volume 2 Book PDF

Author : Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 48,7 Mb
Release : 2022-11-30
Category : Technology & Engineering
ISBN : 9781394152612

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Autonomous Vehicles, Volume 2 by Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran Pdf

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.

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

Zhijun Chen
Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment Book PDF

Author : Zhijun Chen
Publisher : Elsevier
Page : 197 pages
File Size : 45,5 Mb
Release : 2024-04-19
Category : Technology & Engineering
ISBN : 9780443273179

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Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment by Zhijun Chen Pdf

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.

Driverless

Hod Lipson,Melba Kurman
Driverless Book PDF

Author : Hod Lipson,Melba Kurman
Publisher : MIT Press
Page : 324 pages
File Size : 43,7 Mb
Release : 2016-09-23
Category : Business & Economics
ISBN : 9780262035224

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Driverless by Hod Lipson,Melba Kurman Pdf

When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.

The Next Generation Vehicular Networks, Modeling, Algorithm and Applications

Zhou Su,Yilong Hui,Tom H. Luan,Qiaorong Liu,Rui Xing
The Next Generation Vehicular Networks Modeling Algorithm and Applications Book PDF

Author : Zhou Su,Yilong Hui,Tom H. Luan,Qiaorong Liu,Rui Xing
Publisher : Springer Nature
Page : 157 pages
File Size : 45,9 Mb
Release : 2020-11-12
Category : Computers
ISBN : 9783030568276

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The Next Generation Vehicular Networks, Modeling, Algorithm and Applications by Zhou Su,Yilong Hui,Tom H. Luan,Qiaorong Liu,Rui Xing Pdf

This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications. It focuses on the key enabling technologies to design the next generation vehicular networks with various vehicular services to realize the safe, convenient and comfortable driving. The next generation vehicular networks has emerged to provide services with a high quality of experience (QoE) to vehicles, where both better network maintainability and sustainability can be obtained than before. The framework design principles and related network architecture are also covered in this book. Then, the series of research topics are discussed including the reputation based content centric delivery, the contract based mobile edge caching, the Stackelberg game model based computation offloading, the auction game based secure computation offloading, the bargain game based security protection and the deep learning based autonomous driving. Finally, the investigation, development and future works are also introduced for designing the next generation vehicular networks. The primary audience for this book are researchers, who work in computer science and electronic engineering. Professionals working in the field of mobile networks and communications, as well as engineers and technical staff who work on the development or the standard of computer networks will also find this book useful as a reference.

Networking Vehicles to Everything

Markus Mueck,Ingolf Karls
Networking Vehicles to Everything Book PDF

Author : Markus Mueck,Ingolf Karls
Publisher : Walter de Gruyter GmbH & Co KG
Page : 234 pages
File Size : 42,9 Mb
Release : 2018-01-09
Category : Computers
ISBN : 9781501507243

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Networking Vehicles to Everything by Markus Mueck,Ingolf Karls Pdf

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

Signal and Information Processing, Networking and Computers

Yue Wang,Yuyang Liu,Jiaqi Zou,Mengyao Huo
Signal and Information Processing Networking and Computers Book PDF

Author : Yue Wang,Yuyang Liu,Jiaqi Zou,Mengyao Huo
Publisher : Springer Nature
Page : 1257 pages
File Size : 45,7 Mb
Release : 2023-02-23
Category : Technology & Engineering
ISBN : 9789811999680

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Signal and Information Processing, Networking and Computers by Yue Wang,Yuyang Liu,Jiaqi Zou,Mengyao Huo Pdf

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.

Introduction to Self-Driving Vehicle Technology

Hanky Sjafrie
Introduction to Self Driving Vehicle Technology Book PDF

Author : Hanky Sjafrie
Publisher : CRC Press
Page : 182 pages
File Size : 44,7 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9781000712070

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Introduction to Self-Driving Vehicle Technology by Hanky Sjafrie Pdf

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.

Internet of Things in Autonomous Car Industry. An Overview

Juhyuk Park
Internet of Things in Autonomous Car Industry An Overview Book PDF

Author : Juhyuk Park
Publisher : GRIN Verlag
Page : 8 pages
File Size : 52,5 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9783346342225

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Internet of Things in Autonomous Car Industry. An Overview by Juhyuk Park Pdf

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.

Applied Deep Learning and Computer Vision for Self-Driving Cars

Sumit Ranjan,Dr. S. Senthamilarasu
Applied Deep Learning and Computer Vision for Self Driving Cars Book PDF

Author : Sumit Ranjan,Dr. S. Senthamilarasu
Publisher : Packt Publishing Ltd
Page : 320 pages
File Size : 48,5 Mb
Release : 2020-08-14
Category : Computers
ISBN : 9781838647025

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Applied Deep Learning and Computer Vision for Self-Driving Cars by Sumit Ranjan,Dr. S. Senthamilarasu Pdf

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.

Campus Network Architectures and Technologies

Ningguo Shen,Bin Yu,Mingxiang Huang,Hailin Xu
Campus Network Architectures and Technologies Book PDF

Author : Ningguo Shen,Bin Yu,Mingxiang Huang,Hailin Xu
Publisher : CRC Press
Page : 433 pages
File Size : 44,7 Mb
Release : 2021-05-05
Category : Computers
ISBN : 9781000375978

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Campus Network Architectures and Technologies by Ningguo Shen,Bin Yu,Mingxiang Huang,Hailin Xu Pdf

Campus Network Architectures and Technologies begins by describing the service challenges facing campus networks, and then details the intent-driven campus network architectures and technologies of Huawei Cloud Campus Solution. After reading this book, you will have a comprehensive understanding of next-generation campus network solutions, technical implementations, planning, design, and other know-how. Leveraging Huawei’s years of technical expertise and practices in the campus network field, this book systematically describes the use of technical solutions such as virtualization, big data, AI, and SDN in campus networks. You will be able to reconstruct campus networks quickly and efficiently utilizing this informative description. Additionally, this book provides detailed suggestions for campus network design and deployment based on Huawei's extensive project implementation experience, assisting with the construction of automated and intelligent campus networks required to cope with challenges. This is a practical, informative, and easy-to-understand guide for learning about and designing campus networks. It is intended for network planning engineers, network technical support engineers, network administrators, and enthusiasts of campus network technologies. Authors Ningguo Shen is Chief Architect for Huawei’s campus network solutions. He has approximately 20 years' experience in campus network product and solution design, as well as a wealth of expertise in network planning and design. Mr. Shen previously served as a system engineer for the campus switch, data center switch, and WLAN product lines, and led the design of Huawei’s intent-driven campus network solution. Bin Yu is an Architect for Huawei's campus network solutions. He has 12 years’ experience in campus network product and solution design, as well as extensive expertise in network planning and design and network engineering project implementation. Mr. Yu once led the design of multiple features across various campus network solutions. Mingxiang Huang is a Documentation Engineer for Huawei’s campus network solutions. He has three years of technical service experience, and four years of expertise in developing campus network product documentation. Mr. Huang was previously in charge of writing manuals for Huawei router and switch products. He has authored many popular technical series, including Be an OSPF Expert, Insight into Routing Policies, and Story behind Default Routes. Hailin Xu is a Documentation Engineer for Huawei’s campus network solutions. He has two years of marketing experience in smart campus solutions, and six years of expertise in developing network products and solution documentation. Extremely familiar with Huawei's campus network products and solutions, Mr. Xu was previously in charge of writing manuals for Huawei routers, switches, and campus network solutions. In addition, he has participated in smart campus marketing projects within such sectors as education, government, and real estate.

Autonomous Driving

Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Autonomous Driving Book PDF

Author : Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Publisher : Springer
Page : 706 pages
File Size : 48,8 Mb
Release : 2016-05-21
Category : Technology & Engineering
ISBN : 9783662488478

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Autonomous Driving by Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner Pdf

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".

Smart Vehicles for Communication, Volume 2

Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Smart Vehicles for Communication Volume 2 Book PDF

Author : Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 55,9 Mb
Release : 2023-01-05
Category : Technology & Engineering
ISBN : 9781394152254

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Smart Vehicles for Communication, Volume 2 by Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran Pdf

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.