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Titlebook: Location, Localization, and Localizability; Location-awareness T Yunhao Liu,Zheng Yang Book 2024Latest edition The Editor(s) (if applicable

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發(fā)表于 2025-3-21 18:09:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Location, Localization, and Localizability
副標(biāo)題Location-awareness T
編輯Yunhao Liu,Zheng Yang
視頻videohttp://file.papertrans.cn/588/587805/587805.mp4
概述Includes the state-of-the-art research results in many technical journals and conferences.Provides a comprehensive and in-depth view of location-awareness technology in today’s popular wireless networ
圖書封面Titlebook: Location, Localization, and Localizability; Location-awareness T Yunhao Liu,Zheng Yang Book 2024Latest edition The Editor(s) (if applicable
描述.Time flies since the debut of this book. In the past ten years, localization technology has evolved from small saplings into towering trees. Robots and drones with autonomous positioning and navigation capabilities, once considered unreachable fantasies, have gradually become a reality. However, while we are being amazed at the groundbreaking changes brought about by technology, as researchers, we still need to remain acutely attentive to the current limitations of localization. Some significant challenges still impede the widespread deployment. For example, traditional Wi-Fi fingerprint-based wireless localization, due to various challenges in fingerprint database collection and maintenance, has remained stay in the laboratory, and even when using smartphones for localization in malls, we still cannot achieve the outdoor GPS-like experience. The list goes on and on...Against this backdrop, the reissue of this book aims to more comprehensively reflect the latest developments in localization technology. We have added introductions to emerging technologies such as passive high-precision localization based on wireless signal CSl and autonomous localization for smart devices. Addition
出版日期Book 2024Latest edition
關(guān)鍵詞Deep Learning; Edge Computing; RSS Fingerprints; Multi-modal Data Fusion; Ad hoc Networks; Localization; L
版次2
doihttps://doi.org/10.1007/978-981-97-3176-3
isbn_softcover978-981-97-3178-7
isbn_ebook978-981-97-3176-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-21 20:30:12 | 只看該作者
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Introduction,It’s often said that the success of a retail store depends on three factors: location, location, and location. So do many services of wireless networks.
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發(fā)表于 2025-3-22 12:09:09 | 只看該作者
Physical Measurements,It is absolutely infeasible to do localization without knowledge of the physical world. According to the capabilities of diverse hardware, we classify the measuring techniques into six categories (from fine-grained to coarse-grained)—location, distance, angle, area, hop count, and neighborhood—as shown in Fig. 2.1.
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978-981-97-3178-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-22 22:56:30 | 只看該作者
One-Hop Location Estimation,tion approaches. Typically, it takes place among a target node and its neighboring beacons. Thus, we name it one-hop location estimation. Various kinds of optimization techniques are used in this step for accuracy.
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發(fā)表于 2025-3-23 02:29:37 | 只看該作者
tion-awareness technology in today’s popular wireless networ.Time flies since the debut of this book. In the past ten years, localization technology has evolved from small saplings into towering trees. Robots and drones with autonomous positioning and navigation capabilities, once considered unreach
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