Download or read book Driver Training for Automated Vehicles written by Siobhán E Merriman and published by . This book was released on 2024-04-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Driver Training for Automated Vehicles written by Siobhán E. Merriman and published by CRC Press. This book was released on 2024-04-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Automated Driving written by Daniel Watzenig and published by Springer. This book was released on 2016-09-23 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Driver Training Research and Guidelines for Automated Vehicle Technology written by Michael P. Manser and published by . This book was released on 2019 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Learning to Drive written by David Michael Stavens and published by Stanford University. This book was released on 2011 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Driver Behavior and State Changes in Autonomous Vehicles written by Srinath Sibi and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: While human drivers are currently responsible for almost all of the transport of goods and people, autonomous vehicles are near-at-hand and are expected to replace human drivers in the next few decades. Several vehicle manufacturing and tech companies have begun testing their autonomous vehicles on public roads. During this period of testing, human drivers are employed to ensure the safety of the passengers and those in the immediate vicinity in the event of a failure of automation. Moreover, lower levels of automation, that are currently available to the general public, also require constant human supervision to ensure safety. This makes the study of the cognitive, behavioral and psycho-physiological state of drivers of automation crucial. In this thesis, I review existing literature on the study of driver state and behavior and on the methodologies employed by researchers to study them. I present a series of studies that investigate the changes in driver state while using automated vehicles. To this end, I employed various physio- logical sensors such as near-infrared spectroscopy, galvanic skin response, and electrocardiography. I argue the case for driver state monitoring in automated vehicles to ensure vigilance and driver availability for a take over of control. The first study I present investigates the reasons for the presence of sleepy and drowsy behavior in drivers of automated vehicles. I found that the reason for drowsy behavior was prolonged intervals of low cortical activity. The second and third study investigate the changes in cortical activity across different levels of automation and over time. These studies showed that drivers who used partially automated vehicles had the highest levels of cognitive activity and drivers of partial and fully automated vehicles showing significant decreases in cortical activity over time. In the last study, I employ a panel design to investigate the impact of prior and knowledge and training on driver preparedness and behavior. I found that drivers are prepared when they are trained on the possible failure modes of automation. However, this preparedness decreases over time in both drivers with and without any training. These studies add to the existing knowledge of driver state investigations while providing much needed insight into the longitudinal changes in driver state. It is my hope that this thesis provides the foundation for future investigations into training programs for safety drivers in autonomous vehicles and serve as guidance for developers of automated driving technology.

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 215 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.

Download or read book Measuring Automated Vehicle Safety written by Laura Fraade-Blanar and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents a framework for measuring safety in automated vehicles (AVs): how to define safety for AVs, how to measure safety for AVs, and how to communicate what is learned or understood about AVs.

Download or read book Automated Driving and Driver Assistance Systems written by Tom Denton and published by Routledge. This book was released on 2019-10-16 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Driver Reactions to Automated Vehicles written by Alexander Eriksson and published by CRC Press. This book was released on 2018-07-04 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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 698 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".

Download or read book Creating Autonomous Vehicle Systems Second Edition written by Liu Shaoshan and published by Springer Nature. This book was released on 2022-05-31 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Safety Relevant Guidance for On Road Testing of Prototype Automated Driving System ADS Operated Vehicles written by On-Road Automated Driving (ORAD) Committee and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document provides preliminary1 safety-relevant guidance for in-vehicle fallback test driver training and for on-road testing of vehicles being operated by prototype conditional, high, and full (Levels 3 to 5) ADS, as defined by SAE J3016. It does not include guidance for evaluating the performance of post-production ADS-equipped vehicles. Moreover, this guidance only addresses testing of ADS-operated vehicles as overseen by in-vehicle fallback test drivers (IFTD).These guidelines do not address: Remote driving, including remote fallback test driving of prototype ADS-operated test vehicles in driverless operation. (Note: The term "remote fallback test driver" is included as a defined term herein and is intended to be addressed in a future iteration of this document. However, at this time, too little is published or known about this type of testing to provide even preliminary guidance.) Testing of driver support features (i.e., Levels 1 and 2), which rely on a human driver to perform part of the dynamic driving task (DDT) and to supervise the driving automation feature's performance in real time. (Refer to SAE J3016.) Closed-course testing. Simulation testing (except for training purposes). Component-level testing.These guidelines also do not address prototype vehicle and IFTD performance data collection and retention. The collection of data invokes various legal and risk management considerations that users of this document should nevertheless bear in mind, such as: Maintaining auditable procedures and documentation. Adhering to applicable privacy laws and principles. Ensuring adequate data collection and recording integrity to support post-crash forensic analysis. This document provides safety-relevant guidance for in-vehicle fallback test driver training and for testing prototype automated driving systems (ADS) equipped on test vehicles operated in mixed-traffic environments on public roads (hereafter, prototype ADS-operated vehicles). This document is being substantially updated in order to incorporate content from Automated Vehicle Safety Consortium (AVSC) publication 00001201911: "AVSC Best Practice for In-Vehicle Fallback Test Driver Selection, Training, and Oversight Procedures for Automated Vehicles Under Test" and to re-classify this document as an SAE Recommended Practice, rather than an SAE Information Report.It is assumed that the prototype ADS-operated vehicles that are the subject of this guidance have been developed using standardized methods for safer product development including, but not limited to: A systems engineering approach (i.e., V-model). Adherence to a recognized system safety process(es) for identifying hazards and implementing strategies for mitigating them. Implementation of an electrical/electronic (E/E) architecture (system/hardware/software levels) capable of implementing hazard mitigation concepts and strategies. Analysis and testing of identified hazard mitigation strategies (hardware and software).Prototype ADS-operated vehicles that are based on existing production vehicles rely on the existing vehicle's E/E architecture, as adapted for ADS. Prototype ADS technology provided via added hardware and software modules that are not integrated according to the vehicle manufacturer's specifications, should be checked to ensure that they do not interfere with base vehicle hardware or software systems. As such, they should abide by the following general principles: All hardware and software interfaces between production- and development-level hardware and software should be analyzed and tested for operational integrity, including analysis of failure modes and effects. Developmental software added to a vehicle (including that equipped on added hardware modules) should be monitored and/or include self-diagnostics for safety-critical functions, which should be verified for efficacy prior to on-road testing. Alternatively, system-level approaches to ensuring developmental software safety (e.g., shadow mode testing) is also acceptable.Test program/operations management plays a key role in helping to maintain safety while conducting on-road testing of prototype ADS-operated vehicles. Unexpected behaviors (including incidents) should be reported accurately and consistently for later root-cause analysis and resolution. A manager in charge of prototype ADS-operated vehicle testers should explain to them the organization's specific rules about testing and documentation, as well as any hardware/software updates that impact the performance of the ADS-operated vehicles. Novice testers should be paired with more experienced testers to learn the appropriate reactions in various situations.Real-time calibration/tuning of ADS software during testing should be allowed only after evaluation by qualified personnel (e.g., development engineer, lead calibrator, and/or designated safety engineer), indicating that the change does not pose unacceptable risk for on-road testing.

Download or read book Assessment Equity and Opportunity to Learn written by Pamela A. Moss and published by Cambridge University Press. This book was released on 2008-04-07 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing all students with a fair opportunity to learn (OTL) is perhaps the most pressing issue facing U.S. education. Moving beyond conventional notions of OTL – as access to content, often content tested; access to resources; or access to instructional processes – the authors reconceptualize OTL in terms of interaction among learners and elements of their learning environments. Drawing on socio-cultural, sociological, psychometric, and legal perspectives, this book provides historical critique, theory and principles, and concrete examples of practice through which learning, teaching, and assessment can be re-envisioned to support fair OTL for all students. It offers educators, researchers, and policy analysts new to socio-cultural perspectives an engaging introduction to fresh ideas for conceptualizing, enhancing, and assessing OTL; encourages those who already draw on socio-cultural resources to focus attention on OTL and assessment; and nurtures collaboration among members of discourse communities who have rarely engaged one another's work.

Download or read book Autonomous Vehicles and the Law written by Hannah YeeFen Lim and published by Edward Elgar Publishing. This book was released on with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Developing Skills with Information Technology written by Lisanne Bainbridge and published by . This book was released on 1989-11-24 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a symposium held by the European Network of Work and Organizational Psychologists (ENOP) in Homburg, West Germany, April 1987. Contributors address the impact of information technology on training, especially the advent of new tools for training, and advances in control over the training process. Discussed is training for the new types of skills IT equipment requires of its users--notable is the growing need for cognitive skills rather than more traditional perceptual and motor skills. Also considered are job-aid support, person-machine function allocation, job design, and the growing need to incorporate the training provision into the system design process.

Download or read book Automated Driving Systems 2 0 written by U. S. Department Of Transportation and published by Createspace Independent Publishing Platform. This book was released on 2018-07-25 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A Vision for Safety replaces the Federal Automated Vehicle Policy released in 2016. This updated policy framework offers a path forward for the safe deployment of automated vehicles by: encouraging new entrants and ideas that deliver safer vehicles; making Department regulatory processes more nimble to help match the pace of private sector innovation; and supporting industry innovation and encouraging open communication with the public and with stakeholders."--Introductory message.