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Books on the topic 'Indoor localization'

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1

Wu, Chenshu, Zheng Yang, and Yunhao Liu. Wireless Indoor Localization. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0356-2.

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2

Mautz, Rainer. Indoor positioning technologies. Zürich: Schweizerische Geodätische Kommission, 2012.

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3

Tiku, Saideep, and Sudeep Pasricha, eds. Machine Learning for Indoor Localization and Navigation. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26712-3.

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4

Chessa, Stefano, and Stefan Knauth, eds. Evaluating AAL Systems Through Competitive Benchmarking. Indoor Localization and Tracking. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33533-4.

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5

Chen, Leian. Signal Processing and Machine Learning Methods for Internet of Things: Smart Energy Generation and Robust Indoor Localization. [New York, N.Y.?]: [publisher not identified], 2022.

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6

1974-, Zou Wei, ed. Shi nei yi dong shi fu wu ji qi ren de gan zhi, ding wei yu kong zhi. Beijing: Ke xue chu ban she, 2008.

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7

Stefan, Knauth, and SpringerLink (Online service), eds. Evaluating AAL Systems Through Competitive Benchmarking. Indoor Localization and Tracking: International Competition, EvAAL 2011, Competition in Valencia, Spain, July 25-29, 2011, and Final Workshop in Lecce, Italy, September 26, 2011. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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8

Visible Light Communication Based Indoor Localization. Taylor & Francis Group, 2019.

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9

Kavehrad, Mohsen, and Reza Aminikashani. Visible Light Communication Based Indoor Localization. CRC Press, 2019. http://dx.doi.org/10.1201/9780429355806.

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10

Kavehrad, Mohsen, and Reza Aminikashani. Visible Light Communication Based Indoor Localization. Taylor & Francis Group, 2019.

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11

Kavehrad, Mohsen, and Reza Aminikashani. Visible Light Communication Based Indoor Localization. Taylor & Francis Group, 2019.

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12

Yang, Zheng, Yunhao Liu, and Chenshu Wu. Wireless Indoor Localization: A Crowdsourcing Approach. Springer, 2019.

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13

Kavehrad, Mohsen, and Reza Aminikashani. Visible Light Communication Based Indoor Localization. Taylor & Francis Group, 2019.

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14

Yang, Zheng, Yunhao Liu, and Chenshu Wu. Wireless Indoor Localization: A Crowdsourcing Approach. Springer, 2018.

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15

Kavehrad, Mohsen, and Reza Aminikashani. Visible Light Communication Based Indoor Localization. Taylor & Francis Group, 2019.

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16

Recent Advances in Indoor Localization Systems and Technologies. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1484-0.

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17

Elbahhar, Fouzia, ed. New Approach of Indoor and Outdoor Localization Systems. InTech, 2012. http://dx.doi.org/10.5772/2751.

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18

Amin, Moeness. Radar for Indoor Monitoring: Detection, Localization, and Assessment. Taylor & Francis Group, 2017.

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19

Zwirello, Lukasz. Realization Limits of Impulse-Radio UWB Indoor Localization Systems. Saint Philip Street Press, 2020.

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20

Indoor Location Technologies. Springer, 2012.

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21

Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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22

Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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23

Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2019.

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24

Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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25

Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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26

Li, Xiaolin, and Kaikai Liu. Mobile SmartLife Via Sensing, Localization, and Cloud Ecosystems. Taylor & Francis Group, 2017.

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27

Li, Xiaolin, and Kaikai Liu. Mobile Smartlife Via Sensing Localization and Cloud Ecosystems. Taylor & Francis Group, 2020.

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28

Li, Xiaolin, and Kaikai Liu. Mobile SmartLife Via Sensing, Localization, and Cloud Ecosystems. Taylor & Francis Group, 2017.

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29

Mobile SmartLife Via Sensing, Localization, and Cloud Ecosystems. Taylor & Francis Group, 2017.

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30

Sanfeliu, Alberto, and Juan Andrade Cetto. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building. Springer, 2010.

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31

Andrade-Cetto, Juan, and Alberto Sanfeliu. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Springer Tracts in Advanced Robotics). Springer, 2006.

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32

Chessa, Stefano, and Stefan Knauth. Evaluating AAL Systems Through Competitive Benchmarking - Indoor Localization and Tracking: International Competition, EvAAL 2011, Competition in Valencia, Spain, July 25-29, 2011, and Final Workshop in Lecce ,Italy, September 26, 2011. Revised Selected Papers. Springer Berlin / Heidelberg, 2012.

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