Описание: This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases.
Описание: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.
Описание: This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases.
This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field.
Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video. The final part of the book proposes a general strategy for visual learning over several generations of student-teacher neural networks, along with a unique view on the future of unsupervised learning in real-world contexts.
Offering a fresh approach to this difficult problem, several efficient, state-of-the-art unsupervised learning algorithms are reviewed in detail, complete with an analysis of their performance on various tasks, datasets, and experimental setups. By highlighting the interconnections between these methods, many seemingly diverse problems are elegantly brought together in a unified way.
Serving as an invaluable guide to the computational tools and algorithms required to tackle the exciting challenges in the field, this book is a must-read for graduate students seeking a greater understanding of unsupervised learning, as well as researchers in computer vision, machine learning, robotics, and related disciplines.
Автор: Watzenig Название: Automated Driving ISBN: 3319318934 ISBN-13(EAN): 9783319318936 Издательство: Springer Рейтинг: Цена: 26832.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Intelligent Transport Systems (ITS) have been a domain of substantial development for more than thirty years, enhancing safety, (energy and fuel) efficiency, comfort, and economic growth. Cooperative Intelligent Transport Systems (C-ITS), also referred to as Connected Vehicles, are a prelude to, and pave the way towards road transport automation. Vehicle connectivity and information exchange will be an important asset for future highly-automated driving. The book provides a comprehensive insight in the state of the art of C-ITS and automated driving, especially addresses the important role of ICT (Information and Communication Technologies) infrastructure, and presents the main achievements (both theory and practice), as well as the challenges in the domain in Europe, the US and Asia/Pacific.
Описание: This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles.
Автор: Watzenig Daniel, Horn Martin Название: Automated Driving: Safer and More Efficient Future Driving ISBN: 3319811460 ISBN-13(EAN): 9783319811468 Издательство: Springer Рейтинг: Цена: 34150.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: UX Topics in Automated Driving.- Shut Up and Drive? User Requirements for Communication Services in Autonomous Driving.- Towards User-Focused Vehicle Automation: the Architectural Approach of the AutoAkzept Project.- In the Passenger Seat: Differences in the Perception of Human vs. Automated Vehicle Control and Resulting HMI Demands of Users.- Ambivalence in Stakeholders' Views on Connected and Autonomous Vehicles.- User Perception and the Effect of Forms and Movements in Human-Machine Interaction Applying Steer-by-Wire for Autonomous Vehicles.- Human-Systems Integration for Driving Automation Systems: Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs.- Affective Use Cases for Empathic Vehicles in Highly Automated Driving: Results of an Expert Workshop.- A Pilot Study on the Dynamics of Online Risk Assessment by the Passenger of a Self-Driving Car among Pedestrians.- Fluid Interface Concept for Automated Driving.- Human Factor Considerations on Timing of Driver Taking Over in Automated Driving Systems: A Literature Review.- Gender Differences in Simulation Sickness in Static vs. Moving Platform VR Automated Driving Simulation.- Measures for Well-being in Highly Automated Vehicles: The Effect of Prior Experience.- A Filed Study of External HMI for Autonomous Vehicles When Interacting with Pedestrians.- Designing In-Vehicle Experiences.- Evaluating HMI-Development Approaches from an Automotive Perspective.- Smart and Seamless: Investigating User Needs and Recognition for Smartphone-Automobile Interactive Features.- The More You Know, the More You Can Trust: Drivers' Understanding of the Advanced Driver Assistance System.- An Introduction to a Psychoanalytic Framework for Passengers' Experience in Autonomous Vehicles.- Weaving Social Networks from Smart Card Data: An On-Journey-Accompanying Approach.- Effective Alerts for Autonomous Solutions to Aid Drivers Experiencing Medical Anomalies.- Complexity in In-vehicle Touchscreen Interaction: A Literature Review and Conceptual Framework.- The Effects of Collision Avoidance Warning Systems on Driver's Visual Behaviors.- Acceptance and Diffusion of Services based on Secure Elements in Smartphones - Study Design and First Results of the Pretests.- Ontology for Mobility of People with Intellectual Disability: Building a basis of Definitions for the Development of Navigation aid Systems.- The Effect of Multiple Visual Variables on Size Perception in Geographic Information Visualization.- Research on Innovative Vehicle Human-Machine Interaction System and Interface Level Design.- Age-related Differences in the Interaction with Advanced Driver Assistance Systems - A Field Study.- Using Augmented Reality to Mitigate Blind Spots in Trucks.- Range InSight - Visualizing Range-Related Information in Battery Electric Buses.- Investigating the Benefits of Haptic Feedback during In-Car Interactions in Virtual Reality.- A fluid-HMI approach for Haptic Steering Shared Control for the HADRIAN Project.- BLOKCAR: a Children Entertainment System to Enrich and Enhance Family Car Travel Experience.- Influence of Position and Interface for Central Control Screen on Driving Performance of Electric Vehicle.
Описание: 1 Introduction.- 2 Why Functional Safety in Automotive Industry? 3 System Engineering.- 4 System Engineering for the Development of Requirements and Related Architecture.- 5 System Engineering during Product Realization.- 6 System Integration.- 7 Confirmation of Functional Safety.- Index.
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