Driver Reactions To Automated Vehicles

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Driver Reactions to Automated Vehicles

Author : Alexander Eriksson,Neville A. Stanton
Publisher : CRC Press
Page : 158 pages
File Size : 55,8 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

Driver Reactions to Automated Vehicles

Author : Alexander Eriksson (Cognitive scientist),Neville Anthony Stanton
Publisher : CRC Press
Page : 157 pages
File Size : 47,7 Mb
Release : 2018
Category : Computers
ISBN : 1351207512

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Driver Reactions to Automated Vehicles by Alexander Eriksson (Cognitive scientist),Neville Anthony Stanton Pdf

The introduction of vehicle automation has changed the role of the driver from an active operator, to a passive monitor. There are concerns regarding the safety and the ability of the driver to act as a fall back during failures or unexpected situations. This book covers the importance of considering driver variability when designing systems for human use. It provides an understanding of the contemporary issues related to human factors within vehicle automation and the effects on driver behaviour. It covers a novel way of looking at human-agent interaction from a linguistics perspective. It also discusses new perspectives on how to assess drivers, based on the full range of variability.

Autonomous Driving

Author : Markus Maurer,J. Christian Gerdes,Barbara Lenz,Hermann Winner
Publisher : Springer
Page : 706 pages
File Size : 43,5 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 Driving

Author : Markus Maurer,J Christian Gerdes,Barbara Lenz
Publisher : Unknown
Page : 698 pages
File Size : 49,6 Mb
Release : 2020-10-08
Category : Computers
ISBN : 1013267664

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Autonomous Driving by Markus Maurer,J Christian Gerdes,Barbara Lenz 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 treatmentof the emerging field of "autonomous driving". This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Driving Automation

Author : Mark S. Young,Neville A. Stanton
Publisher : CRC Press
Page : 289 pages
File Size : 53,5 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.

Characterizing the Safety of Automated Vehicles

Author : Juan Pimentel
Publisher : SAE International
Page : 190 pages
File Size : 44,8 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 Training for Automated Vehicles

Author : Siobhán E Merriman,Katherine L Plant,Kirsten M a Revell,Neville a Stanton
Publisher : Unknown
Page : 0 pages
File Size : 47,9 Mb
Release : 2024-04-30
Category : Business & Economics
ISBN : 1032510900

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

Driver Training for Automated Vehicles 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.

Automobile Automation

Author : Victoria A. Banks,Neville A. Stanton
Publisher : CRC Press
Page : 265 pages
File Size : 40,7 Mb
Release : 2017-08-04
Category : Computers
ISBN : 9781315295633

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Automobile Automation by Victoria A. Banks,Neville A. Stanton Pdf

Increasing levels of driving automation has changed the role of the driver from active operator to passive monitor. However, Systems Design has been plagued by criticism for failing to acknowledge the new role of the driver within the system network. To understand the driver's new role within an automated driving system, the theory of Distributed Cognition is adopted. This approach provides a useful framework for the investigation of allocation of function between multiple agents in the driving system. A Systems Design Framework has been developed that outlines how the Distributed Cognition paradigm can be applied to driving using both qualitative and quantitative research methodologies.

User Experience Design in the Era of Automated Driving

Author : Andreas Riener,Myounghoon Jeon,Ignacio Alvarez
Publisher : Springer Nature
Page : 603 pages
File Size : 43,5 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030777265

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User Experience Design in the Era of Automated Driving by Andreas Riener,Myounghoon Jeon,Ignacio Alvarez Pdf

This book is dedicated to user experience design for automated driving to address humane aspects of automated driving, e.g., workload, safety, trust, ethics, and acceptance. Automated driving has experienced a major development boost in recent years. However, most of the research and implementation has been technology-driven, rather than human-centered. The levels of automated driving have been poorly defined and inconsistently used. A variety of application scenarios and restrictions has been ambiguous. Also, it deals with human factors, design practices and methods, as well as applications, such as multimodal infotainment, virtual reality, augmented reality, and interactions in and outside users. This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed-up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.

Autonomous Driving

Author : Andreas Herrmann,Walter Brenner,Rupert Stadler
Publisher : Emerald Group Publishing
Page : 464 pages
File Size : 48,9 Mb
Release : 2018-03-26
Category : Business & Economics
ISBN : 9781787148338

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Autonomous Driving by Andreas Herrmann,Walter Brenner,Rupert Stadler Pdf

The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.

Automated Driving

Author : Daniel Watzenig,Martin Horn
Publisher : Springer
Page : 619 pages
File Size : 44,6 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.

Autonomous Vehicles and the Law

Author : Hannah YeeFen Lim
Publisher : Edward Elgar Publishing
Page : 160 pages
File Size : 44,5 Mb
Release : 2024-06-29
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.

Human-Like Decision Making and Control for Autonomous Driving

Author : Peng Hang,Chen Lv,Xinbo Chen
Publisher : CRC Press
Page : 201 pages
File Size : 48,6 Mb
Release : 2022-07-25
Category : Mathematics
ISBN : 9781000624953

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Human-Like Decision Making and Control for Autonomous Driving by Peng Hang,Chen Lv,Xinbo Chen Pdf

This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.

Multi-Agent Safety

Author : Juan Pimentel
Publisher : SAE International
Page : 208 pages
File Size : 46,7 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.

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.