Smartphone-Based 3D Indoor Localization and Navigation
During the last century, navigation systems have become ubiquitous and guide drivers, cyclists, and pedestrians towards their desired destinations. While operating worldwide, they rely on line-of-sight conditions towards satellites and are thus limited to outdoor areas. However, finding a gate withi...
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| Định dạng: | Online |
| Ngôn ngữ: | Tiếng Anh |
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Logos Verlag Berlin
2022
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| Truy cập trực tuyến: | ONIX_20220317_9783832552329_2 |
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| _version_ | 1869530017993588736 |
|---|---|
| author | Ebner, Frank |
| author_browse | Ebner, Frank |
| author_facet | Ebner, Frank |
| author_sort | Ebner, Frank |
| collection | Directory of Open Access Books |
| description | During the last century, navigation systems have become ubiquitous and guide drivers, cyclists, and pedestrians towards their desired destinations. While operating worldwide, they rely on line-of-sight conditions towards satellites and are thus limited to outdoor areas. However, finding a gate within an airport, a ward within a hospital, or a university's auditorium also represent navigation problems. To provide navigation within such indoor environments, new approaches are required. This thesis examines pedestrian 3D indoor localization and navigation using commodity smartphones: A desirable target platform, always at hand and equipped with a multitude of sensors. The IMU (accelerometer, gyroscope, magnetometer) and barometer allow for pedestrian dead reckoning, that is, estimating relative location changes. Absolute whereabouts can be determined via Wi-Fi, an infrastructure present within most public buildings, or by using Bluetooth Low Energy Beacons as inexpensive supplement. The building's 3D floorplan not only enables navigation, but also increases accuracy by preventing impossible movements, and serves as a visual reference for the pedestrian. All aforementioned information is fused by recursive density estimation based on a particle filter. The conducted experiments cover both, theoretical backgrounds and real-world use-cases. All discussed approaches utilize the infrastructure found within most public buildings, are easy to set up, and maintain. Overall, this thesis results in an indoor localization and navigation system that can be easily deployed, without requiring any special hardware components. |
| format | Online |
| id | doab-20.500.12854ir-79453 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Logos Verlag Berlin |
| publisherStr | Logos Verlag Berlin |
| record_format | ojs |
| spelling | doab-20.500.12854ir-794532024-04-14T10:29:07Z Smartphone-Based 3D Indoor Localization and Navigation Ebner, Frank Probabilistic Sensor Fusion Pedestrian Dead Reckoning Wi-Fi Location Estimation Indoor Floorplans 3D Movement Prediction thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics During the last century, navigation systems have become ubiquitous and guide drivers, cyclists, and pedestrians towards their desired destinations. While operating worldwide, they rely on line-of-sight conditions towards satellites and are thus limited to outdoor areas. However, finding a gate within an airport, a ward within a hospital, or a university's auditorium also represent navigation problems. To provide navigation within such indoor environments, new approaches are required. This thesis examines pedestrian 3D indoor localization and navigation using commodity smartphones: A desirable target platform, always at hand and equipped with a multitude of sensors. The IMU (accelerometer, gyroscope, magnetometer) and barometer allow for pedestrian dead reckoning, that is, estimating relative location changes. Absolute whereabouts can be determined via Wi-Fi, an infrastructure present within most public buildings, or by using Bluetooth Low Energy Beacons as inexpensive supplement. The building's 3D floorplan not only enables navigation, but also increases accuracy by preventing impossible movements, and serves as a visual reference for the pedestrian. All aforementioned information is fused by recursive density estimation based on a particle filter. The conducted experiments cover both, theoretical backgrounds and real-world use-cases. All discussed approaches utilize the infrastructure found within most public buildings, are easy to set up, and maintain. Overall, this thesis results in an indoor localization and navigation system that can be easily deployed, without requiring any special hardware components. 2022-03-17T15:24:35Z 2022-03-17T15:24:35Z 2021 book ONIX_20220317_9783832552329_2 9783832552329 https://directory.doabooks.org/handle/20.500.12854/79453 eng Human Data Understanding - Sensors, Models, Knowledge image/jpeg Attribution-ShareAlike 4.0 International https://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=5232&lng=eng&id= https://www.logos-verlag.de/ebooks/OA/978-3-8325-5232-9.pdf Logos Verlag Berlin Logos Verlag Berlin 10.30819/5232 10.30819/5232 04b263a1-7fba-4491-9eae-1c394ac42fc3 9783832552329 Logos Verlag Berlin 1 351 Berlin open access |
| spellingShingle | Probabilistic Sensor Fusion Pedestrian Dead Reckoning Wi-Fi Location Estimation Indoor Floorplans 3D Movement Prediction thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics Ebner, Frank Smartphone-Based 3D Indoor Localization and Navigation |
| title | Smartphone-Based 3D Indoor Localization and Navigation |
| title_full | Smartphone-Based 3D Indoor Localization and Navigation |
| title_fullStr | Smartphone-Based 3D Indoor Localization and Navigation |
| title_full_unstemmed | Smartphone-Based 3D Indoor Localization and Navigation |
| title_short | Smartphone-Based 3D Indoor Localization and Navigation |
| title_sort | smartphone based 3d indoor localization and navigation |
| topic | Probabilistic Sensor Fusion Pedestrian Dead Reckoning Wi-Fi Location Estimation Indoor Floorplans 3D Movement Prediction thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics |
| topic_facet | Probabilistic Sensor Fusion Pedestrian Dead Reckoning Wi-Fi Location Estimation Indoor Floorplans 3D Movement Prediction thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics |
| url | ONIX_20220317_9783832552329_2 |
| work_keys_str_mv | AT ebnerfrank smartphonebased3dindoorlocalizationandnavigation |