Deep Neural Networks and Data for Automated Driving, Fingscheidt
Автор: Le Lu Название: Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics ISBN: 3030139689 ISBN-13(EAN): 9783030139681 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Le Lu; Yefeng Zheng; Gustavo Carneiro; Lin Yang Название: Deep Learning and Convolutional Neural Networks for Medical Image Computing ISBN: 3319827138 ISBN-13(EAN): 9783319827131 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Поставка под заказ. Описание: This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Автор: Igor V. Tetko; Ve?ra Ku?rkov?; Pavel Karpov; Fabia Название: Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning ISBN: 3030304833 ISBN-13(EAN): 9783030304836 Издательство: Springer Рейтинг: Цена: 91300.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Lu Le, Wang Xiaosong, Carneiro Gustavo Название: Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics ISBN: 3030139719 ISBN-13(EAN): 9783030139711 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 204970.00 T 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.
Автор: Heinrich Название: Planning Universal On-Road Driving Strategies for Automated Vehicles ISBN: 365821953X ISBN-13(EAN): 9783658219536 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Steffen Heinrich describes a motion planning system for automated vehicles.
Автор: Denton Tom Название: Automated Driving and Driver Assistance Systems ISBN: 0367265591 ISBN-13(EAN): 9780367265595 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first book to explain automated driving vehicles straightforwardly and showing the links to ADAS technologies already in use in all modern vehicles. Automated driving will bring huge change at some point and it is crucial to be ready.
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.
Автор: Denton, Tom Название: Automated Driving and Driver Assistance Systems ISBN: 0367265605 ISBN-13(EAN): 9780367265601 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Нет в наличии. Описание: This is the first book to explain automated driving vehicles straightforwardly and showing the links to ADAS technologies already in use in all modern vehicles. Automated driving will bring huge change at some point and it is crucial to be ready.
Автор: Sciarretta Antonio, Vahidi Ardalan Название: Energy-Efficient Driving of Road Vehicles: Toward Cooperative, Connected, and Automated Mobility ISBN: 3030241297 ISBN-13(EAN): 9783030241292 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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