Driver Training For Automated Vehicles

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Driver Training for Automated Vehicles

Author : Siobhán E. Merriman,Katherine L. Plant,Kirsten M. A. Revell,Neville A. Stanton
Publisher : CRC Press
Page : 278 pages
File Size : 55,8 Mb
Release : 2024-04-30
Category : Technology & Engineering
ISBN : 9781040014813

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Driver Training for Automated Vehicles by Siobhán E. Merriman,Katherine L. Plant,Kirsten M. A. Revell,Neville A. Stanton Pdf

Since the introduction of Automated Vehicles (AVs) on roads, there have been a number of high-profile collisions, which have highlighted significant driver challenges. These include challenges associated with drivers’ trust in the automation, their knowledge and awareness of the AV’s capabilities and limitations and their reduced situation awareness of the road environment and the vehicle. Solutions are needed to overcome these challenges, so that the expected benefits of AVs can be realised. Driver Training for Automated Vehicles: A Systems Approach identifies the training requirements for drivers of AVs and takes a systematic approach to design, develop, implement and evaluate a comprehensive training package to address these requirements. This book explores how training can overcome the driver challenges associated with AVs by improving drivers’ mental models, trust in automation, decisions and behaviour when activating a Level 4 AV. It presents a systematic approach to the training lifecycle, by first presenting the current state of research into AVs, identifying the challenges and training requirements for drivers of AVs, and then developing and evaluating a training programme to achieve these requirements. This fascinating title highlights the need for drivers to undergo training for AVs, and takes us a step closer to this need. It walks readers through a systematic, four-step process and provides practical guidance to develop and evaluate an effective training programme. The reader will develop a thorough understanding of the current driver challenges with AVs and the methods and systems to mitigate them through current knowledge and research. This book is an ideal read for practitioners, designers and academics with a professional or research interest in AVs. Its appeal extends to those in the fields of automotive design, Systems Engineering, Human Factors and education and training.

Driver Training for Automated Vehicles

Author : Siobhán E. Merriman,Katherine L. Plant,Kirsten M. A. Revell,Neville A. Stanton
Publisher : CRC Press
Page : 312 pages
File Size : 43,5 Mb
Release : 2024-04-30
Category : Technology & Engineering
ISBN : 9781040014820

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Driver Training for Automated Vehicles by Siobhán E. Merriman,Katherine L. Plant,Kirsten M. A. Revell,Neville A. Stanton Pdf

Since the introduction of Automated Vehicles (AVs) on roads, there have been a number of high-profile collisions, which have highlighted significant driver challenges. These include challenges associated with drivers’ trust in the automation, their knowledge and awareness of the AV’s capabilities and limitations and their reduced situation awareness of the road environment and the vehicle. Solutions are needed to overcome these challenges, so that the expected benefits of AVs can be realised. Driver Training for Automated Vehicles: A Systems Approach identifies the training requirements for drivers of AVs and takes a systematic approach to design, develop, implement and evaluate a comprehensive training package to address these requirements. This book explores how training can overcome the driver challenges associated with AVs by improving drivers’ mental models, trust in automation, decisions and behaviour when activating a Level 4 AV. It presents a systematic approach to the training lifecycle, by first presenting the current state of research into AVs, identifying the challenges and training requirements for drivers of AVs, and then developing and evaluating a training programme to achieve these requirements. This fascinating title highlights the need for drivers to undergo training for AVs, and takes us a step closer to this need. It walks readers through a systematic, four-step process and provides practical guidance to develop and evaluate an effective training programme. The reader will develop a thorough understanding of the current driver challenges with AVs and the methods and systems to mitigate them through current knowledge and research. This book is an ideal read for practitioners, designers and academics with a professional or research interest in AVs. Its appeal extends to those in the fields of automotive design, Systems Engineering, Human Factors and education and training.

Learning to Drive

Author : David Michael Stavens
Publisher : Stanford University
Page : 104 pages
File Size : 51,7 Mb
Release : 2011
Category : Electronic
ISBN : STANFORD:pb661px9942

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Learning to Drive by David Michael Stavens Pdf

Every year, 1.2 million people die in automobile accidents and up to 50 million are injured. Many of these deaths are due to driver error and other preventable causes. Autonomous or highly aware cars have the potential to positively impact tens of millions of people. Building an autonomous car is not easy. Although the absolute number of traffic fatalities is tragically large, the failure rate of human driving is actually very small. A human driver makes a fatal mistake once in about 88 million miles. As a co-founding member of the Stanford Racing Team, we have built several relevant prototypes of autonomous cars. These include Stanley, the winner of the 2005 DARPA Grand Challenge and Junior, the car that took second place in the 2007 Urban Challenge. These prototypes demonstrate that autonomous vehicles can be successful in challenging environments. Nevertheless, reliable, cost-effective perception under uncertainty is a major challenge to the deployment of robotic cars in practice. This dissertation presents selected perception technologies for autonomous driving in the context of Stanford's autonomous cars. We consider speed selection in response to terrain conditions, smooth road finding, improved visual feature optimization, and cost effective car detection. Our work does not rely on manual engineering or even supervised machine learning. Rather, the car learns on its own, training itself without human teaching or labeling. We show this "self-supervised" learning often meets or exceeds traditional methods. Furthermore, we feel self-supervised learning is the only approach with the potential to provide the very low failure rates necessary to improve on human driving performance.

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles

Author : Donald L. Fisher,William J. Horrey,John D. Lee,Michael A. Regan
Publisher : CRC Press
Page : 548 pages
File Size : 45,8 Mb
Release : 2020-05-31
Category : Computers
ISBN : 9781351979801

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Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles by Donald L. Fisher,William J. Horrey,John D. Lee,Michael A. Regan Pdf

Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles Subject Guide: Ergonomics & Human Factors Automobile crashes are the seventh leading cause of death worldwide, resulting in over 1.25 million deaths yearly. Automated, connected, and intelligent vehicles have the potential to reduce crashes significantly, while also reducing congestion, carbon emissions, and increasing accessibility. However, the transition could take decades. This new handbook serves a diverse community of stakeholders, including human factors researchers, transportation engineers, regulatory agencies, automobile manufacturers, fleet operators, driving instructors, vulnerable road users, and special populations. It provides information about the human driver, other road users, and human–automation interaction in a single, integrated compendium in order to ensure that automated, connected, and intelligent vehicles reach their full potential. Features Addresses four major transportation challenges—crashes, congestion, carbon emissions, and accessibility—from a human factors perspective Discusses the role of the human operator relevant to the design, regulation, and evaluation of automated, connected, and intelligent vehicles Offers a broad treatment of the critical issues and technological advances for the designing of transportation systems with the driver in mind Presents an understanding of the human factors issues that are central to the public acceptance of these automated, connected, and intelligent vehicles Leverages lessons from other domains in understanding human interactions with automation Sets the stage for future research by defining the space of unexplored questions

Automated Driving

Author : Daniel Watzenig,Martin Horn
Publisher : Springer
Page : 619 pages
File Size : 44,5 Mb
Release : 2016-09-23
Category : Technology & Engineering
ISBN : 9783319318950

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Automated Driving by Daniel Watzenig,Martin Horn Pdf

The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward. The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.

Creating Autonomous Vehicle Systems, Second Edition

Author : Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc
Publisher : Springer Nature
Page : 221 pages
File Size : 47,9 Mb
Release : 2022-05-31
Category : Mathematics
ISBN : 9783031018053

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Creating Autonomous Vehicle Systems, Second Edition by Liu Shaoshan,Li Liyun,Tang Jie,Wu Shuang,Gaudiot Jean-Luc Pdf

This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing 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 as to its future 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, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. 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 extensive references for an effective, deeper exploration of the various technologies.

Autonomous Driving

Author : Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Publisher : Springer
Page : 706 pages
File Size : 47,8 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".

Autonomous Vehicles and the Law

Author : Hannah YeeFen Lim
Publisher : Edward Elgar Publishing
Page : 160 pages
File Size : 40,7 Mb
Release : 2024-06-02
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.

Automated Driving and Driver Assistance Systems

Author : Tom Denton
Publisher : Routledge
Page : 215 pages
File Size : 48,7 Mb
Release : 2019-10-16
Category : Transportation
ISBN : 9781000727852

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Automated Driving and Driver Assistance Systems by Tom Denton Pdf

Automated vehicles are set to transform the world. Automated driving vehicles are here already and undergoing serious testing in several countries around the world. This book explains the technologies in language that is easy to understand and accessible to all readers. It covers the subject from several angles but in particular shows the links to existing ADAS technologies already in use in all modern vehicles. There is a lot of hype in the media at the moment about autonomous or driverless cars, and while some manufacturers expect to have vehicles available from 2020, they will not soon take over and it will be some time before they are commonplace. However, it is very important to be ready for the huge change of direction that automated driving will take. This is the first book of its type available and complements Tom Denton's other books.

Characterizing the Safety of Automated Vehicles

Author : Juan Pimentel
Publisher : SAE International
Page : 190 pages
File Size : 46,6 Mb
Release : 2019-03-07
Category : Technology & Engineering
ISBN : 9780768002010

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Characterizing the Safety of Automated Vehicles by Juan Pimentel Pdf

Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety. Characterizing the Safety of Automated Vehicles addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include functional safety, SOTIF, and multi-agent safety. As the first title in a series on automated vehicle safety, each will contain introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.

Driver Reactions to Automated Vehicles

Author : Alexander Eriksson,Neville A. Stanton
Publisher : CRC Press
Page : 158 pages
File Size : 47,7 Mb
Release : 2018-07-04
Category : Computers
ISBN : 9781351207508

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Driver Reactions to Automated Vehicles by Alexander Eriksson,Neville A. Stanton Pdf

Driver Reactions to Automated Vehicles focuses on the design and evaluation of the handover to and from driver and the automobile. The authors present evidence from studies in driving simulators and on the open roads to show that handover times are much longer than anticipated by previous research. In the course of the studies, Eriksson and Stanton develop compelling evidence to support the use of driving simulators for the study of handovers. They also develop guidelines for the design of handover strategies and show how this improves driver takeover of vehicle control. Features Provides a history of automobile automation Offers a contemporary analysis of the state of automobile automation Includes novel approaches in examining driver-automation interaction Presents studies of automation in driving simulators Includes on-road studies of driver automation Covers guidelines for design of vehicle automation

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

Author : Lentin Joseph,Amit Kumar Mondal
Publisher : CRC Press
Page : 540 pages
File Size : 41,9 Mb
Release : 2021-12-16
Category : Computers
ISBN : 9781000483772

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Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) by Lentin Joseph,Amit Kumar Mondal Pdf

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing outlines the latest research related to autonomous cars and advanced driver-assistance systems, including the development, testing, and verification for real-time situations of sensor fusion, sensor placement, control algorithms, and computer vision. Features: Co-edited by an experienced roboticist and author and an experienced academic Addresses the legal aspect of autonomous driving and ADAS Presents the application of ADAS in autonomous vehicle parking systems With an infinite number of real-time possibilities that need to be addressed, the methods and the examples included in this book are a valuable source of information for academic and industrial researchers, automotive companies, and suppliers.

Multi-Agent Safety

Author : Juan Pimentel
Publisher : SAE International
Page : 208 pages
File Size : 40,5 Mb
Release : 2019-03-07
Category : Technology & Engineering
ISBN : 9780768002195

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Multi-Agent Safety by Juan Pimentel Pdf

Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety. Multi-Agent Safety addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include vehicle interaction with other vehicles, pedestrians, bicyclists, and other road objects. As the second title in a series on automated vehicle safety, each will contain introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.

Driving Automation

Author : Mark S. Young,Neville A. Stanton
Publisher : CRC Press
Page : 289 pages
File Size : 49,5 Mb
Release : 2023-03-10
Category : Technology & Engineering
ISBN : 9781000851182

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Driving Automation by Mark S. Young,Neville A. Stanton Pdf

The technology behind self-driving cars is being heavily promulgated as the solution to a variety of transport problems including safety, congestion, and impact on the environment. This text examines the key role that human factors plays in driving forward future vehicle automation in a way that realizes the benefits while avoiding the pitfalls. Driving Automation: A Human Factors Perspective addresses a range of issues related to vehicle automation beyond the 'can we' to 'how should we'. It covers important topics including mental workload and malleable attentional resources theory, effects of automation on driver performance, in-vehicle interface design, driver monitoring, eco-driving, responses to automation failure, and human-centred automation. The text will be useful for graduate students and professionals in diverse areas such as ergonomics/human factors, automobile engineering, industrial engineering, mechanical engineering, and health and safety.

Safety of the Intended Functionality

Author : Juan Pimentel
Publisher : SAE International
Page : 210 pages
File Size : 45,7 Mb
Release : 2019-03-07
Category : Technology & Engineering
ISBN : 9780768002355

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Safety of the Intended Functionality by Juan Pimentel Pdf

Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products. Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety. Safety of the Intended Functionality (SOTIF) addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include the system engineering management approach and redundancy technical approach to safety. As the third title in a series on automated vehicle safety, this contains introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.