Autonomes Fahren
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Future Law
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Author : Philipp Reusch
language : de
Publisher: Fachmedien Recht und Wirtschaft
Release Date : 2022-07-22
Future Law written by Philipp Reusch and has been published by Fachmedien Recht und Wirtschaft this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-22 with Law categories.
Ob vernetzte Fabriken, intelligente Social Bots oder autonomes Fahren – smarte Produkte sind in aller Munde. Das vorliegende Buch erweitert in der 2. Auflage das Spektrum der Themen, die in Zukunft die rechtliche Diskussion beherrschen werden, bis hin zum Weltraumrecht. Es erörtert Fragen künstlicher Intelligenz und autonomer Systeme, insbesondere unter haftungs- und produktsicherheitsrechtlichen Aspekten; ein praktischer Teil stellt ausgewählte Anwendungen des Internets der Dinge vor.
Autonomes Fahren
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Author :
language : en
Publisher:
Release Date : 2018
Autonomes Fahren written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Deep Learning Methods For Automotive Radar Signal Processing
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Author : Rodrigo Pérez González
language : en
Publisher: Cuvillier Verlag
Release Date : 2021-06-28
Deep Learning Methods For Automotive Radar Signal Processing written by Rodrigo Pérez González and has been published by Cuvillier Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-28 with Computers categories.
Um autonomes Fahren zu ermöglichen, müssen zukünftige Sensorsysteme nicht nur in der Lage sein, das Fahrumfeld zu erfassen, sondern auch semantische Informationen zu liefern. In dieser Arbeit werden Deep Learning Methoden, die die klassische Radarsignalverarbeitungskette verbessern oder sogar ersetzen sollen, entwickelt und im Hinblick auf das Automobilumfeld evaluiert. Für diesen Zweck werden hochmoderne Bilderkennungsalgorithmen auf die Domäne der Radarsignale angepasst und zur Klassifizierung und Detektion verschiedener Verkehrsteilnehmer angewendet. For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle’s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance—or even replace—the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.
Autonomous Driving
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Author : Markus Maurer
language : en
Publisher: Springer
Release Date : 2016-05-21
Autonomous Driving written by Markus Maurer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-21 with Technology & Engineering categories.
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".
Verkehrssimulator Zur Auslegung Neuronaler Netze F R Autonomes Fahren
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Author : Stefan Dahlmanns
language : de
Publisher:
Release Date : 2018
Verkehrssimulator Zur Auslegung Neuronaler Netze F R Autonomes Fahren written by Stefan Dahlmanns and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Autonomes Fahren
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Author : Markus Maurer
language : de
Publisher: Springer-Verlag
Release Date : 2015-05-06
Autonomes Fahren written by Markus Maurer and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-06 with Technology & Engineering categories.
Ist das voll automatisierte, autonom fahrende Auto zum Greifen nah? Testfahrzeuge und Zulassungen in den USA erwecken diesen Eindruck, werfen aber gleichzeitig viele neue Fragestellungen auf. Wie werden autonome Fahrzeuge in das aktuelle Verkehrssystem integriert? Wie erfolgt ihre rechtliche Einbettung? Welche Risiken bestehen und wie wird mit diesen umgegangen? Und welche Akzeptanz seitens der Gesellschaft sowie des Marktes kann hinsichtlich dieser Entwicklungen überhaupt erwartet werden? Das vorliegende Buch gibt Antworten auf ein breites Spektrum dieser und weiterer Fragen. Expertinnen und Experten aus Deutschland und den USA beschreiben aus ingenieur- und gesellschaftswissenschaftlicher Sicht zentrale Themen im Zusammenhang mit der Automatisierung von Fahrzeugen im öffentlichen Straßenverkehr. Sie zeigen auf, welche „Entscheidungen“ einem autonomen Fahrzeug abverlangt werden beziehungsweise welche „Ethik“ programmiert werden muss. Die Autorinnen und Autoren diskutieren Erwartungen und Bedenken, die die individuelle wie auch die gesellschaftliche Akzeptanz des autonomen Fahrens kennzeichnen. Ein durch autonome Fahrzeuge erhöhtes Sicherheitspotenzial wird den Herausforderungen und Lösungsansätzen, die bei der Absicherung des Sicherheitskonzeptes eine Rolle spielen, gegenübergestellt. Zudem erläutern sie, welche Veränderungsmöglichkeiten und Chancen sich für unsere Mobilität und die Neuorganisation des Verkehrsgeschehens ergeben, nicht zuletzt auch für den Güterverkehr. Das Buch bietet somit eine aktuelle, umfassende und wissenschaftlich fundierte Auseinandersetzung mit dem Thema „Autonomes Fahren“.
Creating Autonomous Vehicle Systems
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Author : Shaoshan Liu
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-10-25
Creating Autonomous Vehicle Systems written by Shaoshan Liu and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-25 with Computers categories.
This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.
Autonomous And Connected Vehicles
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Author : Dominique Paret
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-15
Autonomous And Connected Vehicles written by Dominique Paret and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Technology & Engineering categories.
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.
Autonomous Vehicles
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Author : Steven Van Uytsel
language : en
Publisher: Springer Nature
Release Date : 2020-12-21
Autonomous Vehicles written by Steven Van Uytsel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-21 with Law categories.
This edited book aims to address challenges facing the deployment of autonomous vehicles. Autonomous vehicles were predicted to hit the road by 2017. Even though a high degree of automation may have been achieved, vehicles that can drive autonomously under all circumstances are not yet commercially available, and the predictions have been adjusted. Now, experts even say that we are still decades away from fully autonomous vehicles. In this volume, the authors form a multidisciplinary team of experts to discuss some of the reasons behind this delay. The focus is on three areas: business, technology, and law. The authors discuss how the traditional car manufacturers have to devote numerous resources to the development of a new business model, in which the sole manufacturing of vehicles may no longer be sufficient. In addition, the book seeks to introduce how technological challenges are creating a shift toward connected autonomous vehicles. Further, it provides insight into how regulators are responding to the insufficiently tested technology and how lawyers try to answer the liability question for accidents with these autonomous vehicles.
Introduction To Self Driving Vehicle Technology
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Author : Hanky Sjafrie
language : en
Publisher: CRC Press
Release Date : 2019-11-27
Introduction To Self Driving Vehicle Technology written by Hanky Sjafrie and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Computers categories.
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.
