Smartphone-Based 3D Indoor Localization and Navigation (Volume 1)
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...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Formaat: | Online |
| Taal: | Engels |
| Gepubliceerd in: |
Logos Verlag
2022
|
| Onderwerpen: | |
| Online toegang: | OCN: 1317832593 |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|
| _version_ | 1869526908900737024 |
|---|---|
| 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-81402 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Logos Verlag |
| publisherStr | Logos Verlag |
| record_format | ojs |
| spelling | doab-20.500.12854ir-814022025-07-30T15:01:06Z Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) Ebner, Frank Computers 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. 2022-05-12T14:52:25Z 2022-05-12T14:52:25Z 2022-04-23T05:33:09Z 2020 book OCN: 1317832593 https://library.oapen.org/handle/20.500.12657/54148 9783832552329 https://directory.doabooks.org/handle/20.500.12854/81402 eng open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/54148/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/54148/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/54148/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/54148/1/external_content.pdf https://library.oapen.org/bitstream/20.500.12657/54148/1/external_content.pdf Logos Verlag https://doi.org/10.30819/5232 https://doi.org/10.30819/5232 9783832552329 Knowledge Unlatched (KU) KU Open Services Logos Verlag open access |
| spellingShingle | Computers thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics Ebner, Frank Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) |
| title | Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) |
| title_full | Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) |
| title_fullStr | Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) |
| title_full_unstemmed | Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) |
| title_short | Smartphone-Based 3D Indoor Localization and Navigation (Volume 1) |
| title_sort | smartphone based 3d indoor localization and navigation volume 1 |
| topic | Computers thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics |
| topic_facet | Computers thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics |
| url | OCN: 1317832593 |
| work_keys_str_mv | AT ebnerfrank smartphonebased3dindoorlocalizationandnavigationvolume1 |