Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System: An Edition of the Selected Papers from the 2017 I
暫譯: 大數據、深度學習與網路物理系統下的多感測器融合與整合:2017年I會議選定論文集
Lee, Sukhan, Ko, Hanseok, Oh, Songhwai
- 出版商: Springer
- 出版日期: 2018-12-20
- 售價: $8,860
- 貴賓價: 9.5 折 $8,417
- 語言: 英文
- 頁數: 300
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030080307
- ISBN-13: 9783030080303
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相關分類:
大數據 Big-data、感測器 Sensor、DeepLearning
海外代購書籍(需單獨結帳)
商品描述
This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16-22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.
商品描述(中文翻譯)
本書包含了第十三屆IEEE國際多感測器整合與融合智能系統會議(MFI 2017)中選定的論文,該會議於2017年11月16日至22日在韓國大邱舉行。內容涵蓋多個主題,包括感測器/執行器網路、分散式與雲端架構、生物啟發系統與演化方法、認知感測器融合的方法、貝葉斯方法、模糊系統與神經網路、生醫應用、自主陸地、海洋與空中載具、定位、追蹤、SLAM、3D感知、多指手的操作、機器人技術、微/納米系統、資訊融合與感測器,以及人機互動(HCI)與人機協作(HRI)中的多模態整合。本書旨在為機器人科學家、數據與資訊融合科學家、研究人員及大學、研究機構和實驗室的專業人士提供參考。