Automated Driving Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Automated Driving book. This book definitely worth reading, it is an incredibly well-written.
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.
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.
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.
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".
CELLULAR V2X FOR CONNECTED AUTOMATED DRIVING A unique examination of cellular communication technologies for connected automated driving, combining expert insights from telecom and automotive industries as well as technical and scientific knowledge from industry and academia Cellular vehicle-to-everything (C-V2X) technologies enable vehicles to communicate both with the network, with each other, and with other road users using reliable, responsive, secure, and high-capacity communication links. Cellular V2X for Connected Automated Driving provides an up-to-date view of the role of C-V2X technologies in connected automated driving (CAD) and connected road user (CRU) services, such as advanced driving support, improved road safety, infotainment, over-the-air software updates, remote driving, and traffic efficiency services enabling the future large-scale transition to self-driving vehicles. This timely book discusses where C-V2X technology is situated within the increasingly interconnected ecosystems of the mobile communications and automotive industries. An expert contributor team from both industry and academia explore potential applications, business models, standardization, spectrum and channel modelling, network enhancements, security and privacy, and more. Broadly divided into two parts—introductory and advanced material—the text first introduces C-V2X technology and introduces a variety of use cases and opportunities, requiring no prerequisite technical knowledge. The second part of the book assumes a basic understanding of the field of telecommunications, presenting technical descriptions of the radio, system aspects, and network design for the previously discussed applications. This up-to-date resource: Provides technical details from the finding of the European Commission H2020 5G PPP 5GCAR project, a collaborative research initiative between the telecommunications and automotive industries and academic researchers Elaborates on use cases, business models, and a technology roadmap for those seeking to shape a start-up in the area of automated and autonomous driving Provides up to date descriptions of standard specifications, standardization and industry organizations and important regulatory aspects for connected vehicles Provides technical insights and solutions for the air interface, network architecture, positioning and security to support vehicles at different automation levels Includes detailed tables, plots, and equations to clarify concepts, accompanied by online tutorial slides for use in teaching and seminars Thanks to its mix of introductory content and technical information, Cellular V2X for Connected Automated Driving is a must-have for industry and academic researchers, telecom and automotive industry practitioners, leaders, policymakers, and regulators, and university-level instructors and students. Additional resources available at the following site: Cellular V2X for Connected Automated Driving – 5GCAR
The day will soon come when you will be able to verbally communicate with a vehicle and instruct it to drive to a location. The car will navigate through street traffic and take you to your destination without additional instruction or effort on your part. Today, this scenario is still in the future, but the automotive industry is racing to toward the finish line to have automated driving vehicles deployed on our roads. ADAS and Automated Driving: A Practical Approach to Verification and Validation focuses on how automated driving systems (ADS) can be developed from concept to a product on the market for widescale public use. It covers practically viable approaches, methods, and techniques with examples from multiple production programs across different organizations. The author provides an overview of the various Advanced Driver Assistance Systems (ADAS) and ADS currently being developed and installed in vehicles. The technology needed for large-scale production and public use of fully autonomous vehicles is still under development, and the creation of such technology is a highly innovative area of the automotive industry. This text is a comprehensive reference for anyone interested in a career focused on the verification and validation of ADAS and ADS. The examples included in the volume provide the reader foundational knowledge and follow best and proven practices from the industry. Using the information in ADAS and Automated Driving, you can kick start your career in the field of ADAS and ADS.
The technological development in recent years is currently reflected in the implementation of more and more advanced driver assistance systems (ADAS). A clear example is found in the automated driving systems being marketed today. Some of these systems are capable of controlling crucial driving tasks such as keeping the vehicle within the lane or maintaining speed and the distance with the front vehicle constant. While this technology is still not mature enough to allow fully autonomous driving, current systems allow partially automated driving, or Level 2 (SAE, 2016). Level 2 automation enables feet-free, and for short periods hands-free driving, under specific situations. Yet, the driver is still expected to monitor the road and the system and be ready to intervene when required by the system. Regarding this, studies from the driving and other domains have warned about potential performance problems associated with placing operators in such monitoring role. Factors such as vigilance decrements or proneness to engage in other activities have been proposed to explain these problems; however, their role in the context of Level 2 automation remains to be further investigated. In this context, the main aims of this thesis were to understand the attentional effects of monitoring a Level 2 automated system and to investigate drivers’ strategies to integrate additional tasks while using such system. In particular, the following research questions were established: 1) Does monitoring a Level 2 system affect driver attention after short driving periods?; 2) Does Level 2 automation facilitate the performance of additional tasks?; 3) How do drivers integrate additional tasks into their monitoring responsibilities, and how is that influenced by automation trust and experience?. A complementary aim of this thesis was to explore the applicability of the event-related potentials (ERPs) technique to detect the effects of different types of ADAS, i.e. Level 2 automation and a visual in-vehicle information system (IVIS), on drivers’ attention and on specific processing resources. Three studies were conducted to address the aforementioned research questions. In Study I and III, the participants were asked to drive Level 2 automated and manually while performing an auditory oddball task (Study I) or a visuomotor task (Study III). In Study II, the participants were instructed to perform a computer tracking task with or without the support of an artificial visual IVIS while executing a secondary auditory oddball task. Measurements included performance indicators from the primary and secondary tasks, as well as subjective and psychophysiological measures. ERPs (N1 and P3 amplitude and latencies) elicited by the auditory oddball task were used to assess the participants’ attentional resource allocation. Glance behaviour was also recorded to analyse drivers’ visual monitoring strategies in Study III. In addition, subjective measures of mental workload, vigilance or automation trust were collected. Last, driving parameters such as speed, time spent on the left lane or number overtakings were used to account for driving strategies to integrate an additional task while driving Level 2 automated or manually (Study III). As hypothesized, monitoring a Level 2 automated system for short periods led to lower perceived demands and to reductions in the allocation of attentional resources to the auditory oddball task, as shown by lower amplitudes in the P3 component (Study I). In Study III, driving Level 2 automated led to worse performances on an additional visuomotor task, compared to when driving manually, which contradicted our expectations. Additionally, when the system was active, drivers tended to look less to the road and more to the dashboard; however, only drivers with automation experience or who perceived the system as more robust increased their visual attention to the additional task. Furthermore, the results from Study II showed that some specific ERPs parameters, namely N1 latency and P3 amplitude, were also sensitive to the demands of IVIS while performing the tracking task. Based on previous studies (Young and Stanton, 2002), the lower attentional resource allocation observed in Study I could reflect a cognitive underload effect induced by the Level 2 automated driving. Cognitive underload is proposed as one of the explaining mechanisms for the observed worse performances in the additional visuomotor task during the automated conditions in Study III. However, other effects such as overload or task interferences could also explain this. Finally, the results revealed by the ERPs in Studies I and II suggest that this could be a useful technique to detect alterations in drivers’ attention due to the excessive high or low demands placed by different ADAS. ERPs also showed a greater diagnosticity than other measures in the detection of specific task requirements of perceptual and cognitive resources. Thus, ERPs may be useful as a complementary tool to other mental workload measures. Given that drivers need to remain attentive at all times while interacting with a Level 2 automated vehicle, the use of countermeasures to mitigate the negative attentional effects reported in this thesis is highly recommended. Specific training programs enhancing drivers’ knowledge of the system or the implementation of systems that inform about the system reliability or detect inadequate driver states could be promising solutions. Ägare av fordon med nivå 2-automation har nu möjlighet att köra utan att använda pedalerna, och under korta perioder, även utan att behöva styra i specifika trafiksituationer. Emellertid förblir de fortfarande ansvariga för att kontinuerligt övervaka den omgivande trafikmiljön liksom det automatiserade systemet. Även om automatiserade fordon har potential att öka säkerheten, har tidigare studier visat på betydande problem förknippade med förares svårigheter att övervaka automatiserade system en längre tid. Denna avhandlings huvudsakliga syfte var att förstå vilken inverkan nivå 2- automatiserad körning har på förares uppmärksamhet och beteende under två situationer: a) då föraren övervakar trafiken och systemet, b) då föraren övervakar trafiken och systemet, och samtidigt utför en sidouppgift av visumotorisk karaktär. Dessutom undersöktes även vilken inverkan tillit till och erfarenhet av nivå 2-automation hade på förarens övervakningsstrategier av och användning av systemet. Ett ytterligare, kompletterande syfte med denna avhandling, var att undersöka användbarheten av event-related potentials (ERP) -tekniken för att bättre kunna detektera eventuella förändringar som förknippas med nivå 2-automation. Specifikt analyserades N1 och P3 ERP-komponenterna. Dessutom användes denna teknik i avhandlingen för att upptäcka ökning av den mentala arbetsbelastningen i samband med förarens interaktion med andra vanliga stödsystem, exempelvis fordonets informationssystem. Tre olika studier genomfördes. I Studie I (simulatorstudie) observerades att körning med nivå 2- automation under korta perioder medförde generella minskningar av uppmärksamhetsresursallokering. Denna effekt upptäcktes som en minskning av amplituden hos P3-komponenten, framkallad av utförandet av en sekundär auditiv uppgift. I Studie III (på väg) upptäcktes sämre prestation på en sidouppgift av visumotorisk karaktär under körning med nivå-2 automation jämfört med manuell körning. Det observerades även att förare med större erfarenhet av systemet och/eller högre skattningar av systemets robusthet, tenderade att titta mindre på vägen och mer på sidouppgiften. Slutligen, i Studie II (laboratoriestudie), upptäcktes att ERP var användbart för att detektera ökningar av krav associerade med utförandet av en datoradministrerad spårningsuppgift, baserad på ett artificiellt visuellt IVIS. I allmänhet tyder resultaten i denna avhandling på att nivå 2-automation kan leda till kognitiv underbelastning, en effekt som tidigare har observerats i högre grader av automation. Nedsättning av uppmärksamhet, beroende på kognitiv underbelastning, kan förklara de sämre prestationerna på sidouppgiften under körning med nivå 2-automation som observerades i studie III. Dock behöver resultatet undersökas ytterligare eftersom andra effekter, som överbelastning eller specifik uppgiftskonkurrens, också kan ha skett. I enlighet med avhandlingens kompletterande syfte, uppvisade användningen av ERP, som ett komplementärt verktyg till andra sätt att mäta mental arbetsbelastning, lovande resultat. ERP kan användas för att upptäcka ytterligare effekter av olika stödsystem, som antingen ökar eller minskar de krav som ställs på föraren. Nu finns fordon med nivå 2-automation på vägarna. Trots detta är vissa säkerhetsproblem, förknippade med deras effekter på förarens förmågor och beteende, fortfarande olösta. Det är därför nödvändigt att insatser görs för att mildra sådana problem så att framtida incidenter i trafiken kan förhindras i så stor utsträckning som möjligt. Förhoppningsvis bidrar denna avhandling till att öka förståelsen för de verkliga effekterna av nivå 2-system på förare och uppmuntrar till fler framtida studier inom området.
This book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.
This two-volume set LNCS 12212 and 12213 constitutes the refereed proceedings of the Second International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in Copenhagen, Denmark, in July, 2020.* A total of 1439 full papers and 238 posters have been carefully reviewed and accepted for publication in HCII 2020. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. MobiTAS 2020 includes a total of 59 papers and they are organized in the following topical sections: Part I, Automated Driving and In-Vehicle Experience Design: UX topics in automated driving, and designing in-vehicle experiences. Part II, Driving Behavior, Urban and Smart Mobility: studies on driving behavior, and urban and smart mobility. *The conference was held virtually due to the COVID-19 pandemic.
The Role of Infrastructure for a Safe Transition to Automated Driving contextualizes the latest vehicle and road automation research and technology, focusing on the future role of road infrastructures. The book analyzes the problems an uncontrolled transition will pose and examines ways forward, covering risk, safety, and the influence of human factors in automated vehicles. Automated transport researchers, traffic engineers, and transport and city planners will find the book to be a great resource for addressing the complexity of the period during which both human-driven and automated cars will coexist. This integrated vision of different approaches to vehicle automation will help move the technology forward in a thought-provoking manner. Introduces the SAE standard, the levels of automation it defines, and the concept of new road infrastructures Addresses infrastructural and governance challenges and opportunities for automated vehicles Includes learning tools such as chapters overviews, summaries, and a glossary