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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment - Softcover
- PublisherSpringer
- Publication date2020
- ISBN 10 9811392196
- ISBN 13 9789811392191
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages350
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
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Springer Nature Singapore Aug 2020, 2020
ISBN 10: 9811392196
ISBN 13: 9789811392191
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research. 352 pp. Englisch. Seller Inventory # 9789811392191
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on building bridges between natural and artificial computationPresents an object identification model and two different strategies for online learningEvaluates using a realistic scenario and delivers convincin. Seller Inventory # 449939059
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Machine Learning-based Natural Scene Recognition for Mobile Robot Localization in An Unknown Environment
Published by
Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811392196
ISBN 13: 9789811392191
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Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for localization applications, and cover such topics as: image-segmentation-based visual perceptual grouping for the efficient identification of objects composing unknown environments; classification-based rapid object recognition for the semantic analysis of natural scenes in unknown environments; the present understanding of the Prefrontal Cortex working memory mechanism and its biological processes for human-like localization; and the application of this present understanding to improve mobile robot localization. The book also features a perspective on bridging the gap between feature representations and decision-making using reinforcement learning, laying the groundwork for future advances in mobile robot navigation research. Seller Inventory # 9789811392191
Quantity: 1 available