Modeling Of Driver Behavior In Real World Scenarios Using Multiple Noninvasive Sensors
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| Author | : Huseyin Abut |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 271 |
| Release | : 2017-09-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1501504169 |
World-class experts from academia and industry assembled at the sixth Biennial Workshop on Digital Signal Processing (DSP) for In-Vehicle Systems at Korea University, Seoul, Korea in 2013. The Workshop covered a wide spectrum of automotive fields, including in-vehicle signal processing and cutting-edge studies on safety, driver behavior, infrastructure, in-vehicle technologies. Contributors to this volume have expanded their contributions to the Workshop into full chapters with related works, methodology, experiments, and the analysis of the findings. Topics in this volume include: DSP technologies for in-vehicle systems Driver status and behavior monitoring In-Vehicle dialogue systems and human machine interfaces In-vehicle video and applications for safety Passive and active driver assistance technologies Ideas and systems for autonomous driving Transportation infrastructure
| Author | : John Hansen |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 328 |
| Release | : 2020-05-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3110669781 |
This book presents works from world-class experts from academia, industry, and national agencies representing countries from across the world focused on automotive fields for in-vehicle signal processing and safety. These include cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces. Vehicle Systems, Driver Modeling and Safety is appropriate for researchers, engineers, and professionals working in signal processing for vehicle systems, next generation system design from driver-assisted through fully autonomous vehicles.
| Author | : Huseyin Abut |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 274 |
| Release | : 2023-03-20 |
| Genre | : Technology & Engineering |
| ISBN | : 311098122X |
This book features works from world-class experts from academia, industry, and national agencies from across the world focusing on a wide spectrum of automotive fields covering in-vehicle signal processing, driver modeling, systems and safety. The essays collected in this volume present cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces.
| Author | : Huadong Ma |
| Publisher | : Springer Nature |
| Total Pages | : 249 |
| Release | : 2021-07-02 |
| Genre | : Computers |
| ISBN | : 9811601070 |
Sensor networks are an essential component of the Internet of Things (IoT), and Multimedia Sensor Networks (MSNs) are the most important emerging area in sensor networks. However, multimedia sensing is characterized by diversified modes, large volumes of data, considerable heterogeneity, and complex computing, as a result of which the theory and methods for traditional sensor networks can’t be applied to MSNs. Based on the authors’ years of systematic research on related theory and methods, this book provides a comprehensive review of MSNs. The coverage ranges from networked sensing and fusion-based transmission, to route discovery and in-network computing. The book presents the most important scientific discoveries and fundamental theories on MSNs, while also exploring practical approaches and typical applications. Given its scope, it is especially suitable for students, researchers and practitioners interested in understanding scientific problems involved in characterizing multimedia sensing features, revealing the transmission mechanisms of MSNs, and constructing efficient in-network multimedia computing paradigms. In this book, readers will learn essential methods for achieving the optimal deployment of, efficient and reliable transmission, and timely information processing in MSNs.
| Author | : John H.L. Hansen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 332 |
| Release | : 2012-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1441996079 |
Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features recent advances in Smart-Car technology, coverage of autonomous vehicles that drive themselves, and information on multi-sensor fusion for driver ID and robust driver monitoring. Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, bio-mechanics, human factors and transportation engineering.
| Author | : Pin-Chao Liao |
| Publisher | : Frontiers Media SA |
| Total Pages | : 249 |
| Release | : 2022-12-05 |
| Genre | : Science |
| ISBN | : 2832508650 |
| Author | : Candida Castro |
| Publisher | : CRC Press |
| Total Pages | : 298 |
| Release | : 2008-11-21 |
| Genre | : Technology & Engineering |
| ISBN | : 142005533X |
Human error is involved in more than 90 percent of traffic accidents, and of those accidents, most are associated with visual distractions, or looking-but-failing-to-see errors. Human Factors of Visual and Cognitive Performance in Driving gathers knowledge from a human factors psychology standpoint and provides deeper insight into traffic -user beh
| Author | : Dong Wang |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 232 |
| Release | : 2015-04-17 |
| Genre | : Computers |
| ISBN | : 0128011319 |
Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book
| Author | : Michael A. Regan |
| Publisher | : CRC Press |
| Total Pages | : 674 |
| Release | : 2008-10-15 |
| Genre | : Technology & Engineering |
| ISBN | : 1420007491 |
Certain activities and events both inside and outside a vehicle can distract drivers and lead to degraded performance. New technologies- such as entertainment, communication, and driver assistance systems- play a significant role in distraction. This unique volume defines driver distraction, discusses various causes, and explains how to measure acceptable and unacceptable levels of distraction. Several chapters address measurement techniques based on performance and epidemiological studies. Most importantly, the text explores ways to mitigate driver distraction as well as countermeasures including vehicle design and effective legislation.
| Author | : Sigeru Omatu |
| Publisher | : Springer Nature |
| Total Pages | : 352 |
| Release | : 2022-12-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3031208595 |
DCAI 2022 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 61 papers were submitted, by authors from 28 different countries representing a truly “wide area network” of research activity. The DCAI’22 technical program has selected 32 full papers and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of L'Aquila (Italy). We would like to thank all the contributing authors, the members of the Program Committee and the sponsors (IBM, Indra, Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica dell'Università degli Studi dell'Aquila, Armundia Group, Whitehall Reply, T.C. Technologies And Comunication S.R.L., LCL Industria Grafica, AIR Institute, AEPIA, APPIA).
