This book concisely describes the technologies, human perception, and cognition issues relevant to autonomous vehicles. It also gives an insight in the changes bring about our future everyday lives. Autonomous vehicles are the future of the automobile industry. Automated driving (AD), also called self-driving, raises however several multiple questions, among them those of user safety and acceptation. Comprehensive HMI system design, with windshield display technics, will be necessary to deal with driving task delegations, bringing the use of VR or augmented reality (AR) technologies. In addition, the use of VR for all the vehicle interiors will progressively be proposed for entertainment, online business activities and for modified visual motion perception to alleviate car sickness, a form of motion sickness. Indeed, car sickness is already well known for many passengers, especially when reading or operating smartphones or other display devices. It is called to increase significantly with the introduction of autonomous vehicles where all users will be for long periods in various sitting positions. These two new trends, AD and VR, are already modifying our relationship with the world and the society. All together, they will change our way of life forever. The book will be of interest to professionals in the auto industry, researchers in automotive engineering and computer science and all those interested in the future of transport.

This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications.

This book gathers the recent advances in Augmented Reality (AR) and Virtual Reality (VR). It includes topics on classification of computer assisted environments, field-of-views on visuospatial memory in complex virtual environment, free-roam VR for gaming, simulation of physical processes in an electric circuit, motion study of mated gears, ternary reversible gates with virtual reality, inclusiveness of AR and VR for agricultural disease detection, application of AR and VR in medical and pharmaceuticals, drones for medical assistance, machine learning based AR technologies for human face detection, recognition, and automated vehicles for medical assistance. The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit the common masses.

This volume provides the latest outcomes of augmented reality (AR) and virtual reality (VR) research conducted in various industries. It reveals how AR and VR are currently changing the business landscape, and how new innovations provide opportunities for businesses to offer their customers unique services and experiences. Collecting the proceedings of the International AR & VR Conference held in Manchester, UK, in February 2017, the book advances the state of the art in AR and VR technologies and their applications in various industries such as tourism, hospitality, events, fashion, entertainment, retail, education and the gaming industry. The papers presented here cover the most significant topics within the field of AR and VR for both researchers and practitioners, approaching them from a business and management perspective.

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.

This book features the latest research in the area of immersive technologies, presented at the 5th International Augmented and Virtual Reality Conference, held in Munich, Germany in 2019. Bridging the gap between academia and industry, it presents the state of the art in augmented reality (AR) and virtual reality (VR) technologies and their applications in various industries such as marketing, education, healthcare, tourism, events, fashion, entertainment, retail and the gaming industry. The volume is a collection of research papers by prominent AR and VR scholars from around the globe. Covering the most significant topics in the field of augmented and virtual reality and providing the latest findings, it is of interest to academics and practitioners alike.

Autonomous driving is on the horizon. Partially automated vehicles recently started to emerge in the market, and companies are dedicated to bringing more automated driving capabilities to the vehicles in the near future. Over the past twenty years, human factors research has increased our understanding of driver behavior and human-vehicle interaction, as well as human-automation interaction considerably. However, as the technological developments accelerate, there is an urgent need to conduct research to understand the challenges of driving a semi-automated vehicle, the role of cognitive and social factors and driver characteristics, and how interactive technology can be used to increase driving safety in this context. This thesis was an attempt to address some of these challenges. In this work, we present two studies on human factors of automated driving. In the first study, we present the results of a survey conducted with Tesla drivers who have been using partially automated driving features of Tesla cars. Our results revealed that current users of this technology are early adopters. Automation failures were common, but drivers were comfortable in dealing with these situations. Additionally, Tesla drivers have high levels of trust in the automated driving capability of their vehicles, and their trust increases as they experience these features more. The results also revealed that drivers don't use owner manuals, and seek out information about their cars by using online sources. The majority of Tesla drivers check multiple information sources when their car software receives an update. Overall these findings show that driver needs are changing as the vehicles become smarter and connected. In the second study, we focused on a future technology, augmented reality head-up displays, and explored how this technology can fit into the smart, connected and autonomous vehicle context. Specifically, we conducted an experiment looking into how these displays can be used to monitor the status of automation in automated driving. Participants watched driving videos enhanced with augmented reality cues. Results showed that drivers adjust their trust in the automated vehicle better when information about the vehicle's sensing capabilities are presented using augmented reality cues, and they have positive attitudes towards these systems. However, there were no major safety-related benefits associated with using these displays. Overall, this work provides several contributions to the knowledge about human-automation interaction in automated driving.

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation. Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus—a multiuser open-source information retrieval system developed by one of the authors and available online—provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

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.

Simulation continues to be a growth area in transportation human factors. From empirical studies in the laboratory to the latest training techniques in the field, simulators offer myriad benefits for the experimenter and the practitioner. This book draws together current trends in research and training simulators for the road, rail, air and sea sectors to inform the reader how to maximize both validity and cost-effectiveness in each case. Simulators for Transportation Human Factors provides a valuable resource for both researchers and practitioners in transportation human factors on the use of simulators, giving readers concrete examples and case studies of how simulators have been developed and used in empirical research as well as training applications. It offers useful and usable information on the functional requirements of simulators without the need for any background knowledge on the technical aspects, focusing on the state of the art of research and applications in transport simulators rather than the state of the art of simulation technology. The book covers simulators in operational terms instead of task simulation/modelling and provides a useful balance between a bottom-up, academic approach and a top-down, practical perspective.