The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment
Smartphones have become indispensable in our daily lives. Their various embedded sensors have inspired innovations in mobile applications—especially for indoor navigation. However, the accuracy, reliability and generalizability of navigation all continue to struggle in environments lacking a Global...
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| Format: | Article |
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MDPI AG
2017-02-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | http://www.mdpi.com/2220-9964/6/2/43 |
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| author | Kai-Wei Chiang Jhen-Kai Liao Shih-Huan Huang Hsiu-Wen Chang Chien-Hsun Chu |
| author_facet | Kai-Wei Chiang Jhen-Kai Liao Shih-Huan Huang Hsiu-Wen Chang Chien-Hsun Chu |
| author_sort | Kai-Wei Chiang |
| collection | DOAJ |
| description | Smartphones have become indispensable in our daily lives. Their various embedded sensors have inspired innovations in mobile applications—especially for indoor navigation. However, the accuracy, reliability and generalizability of navigation all continue to struggle in environments lacking a Global Navigation Satellite System (GNSS). Pedestrian Dead Reckoning (PDR) is a popular method for indoor pedestrian navigation. Unfortunately, due to its fundamental principles, even a small navigation error will amplify itself, step by step, generally leading to the need for supplementary resources to maintain navigation accuracy. Virtually all mobile devices and most robots contain a basic camera sensor, which has led to the popularity of image-based localization, and vice versa. However, all of the image-based localization requires continuous images for uninterrupted positioning. Furthermore, the solutions provided by either image-based localization or a PDR are usually in a relative coordinate system. Therefore, this research proposes a system, which uses space resection-aided PDR with geo-referenced images of a previously mapped environment to enable seamless navigation and solve the shortcomings of PDR and image-based localization, and evaluates the performance of space resection with different assumptions using a smartphone. The indoor mobile mapping system (IMMS) is used for the effective production of geo-referenced images. The preliminary results indicate that the proposed algorithm is suitable for universal pedestrian indoor navigation, achieving the accuracy required for commercial applications. |
| first_indexed | 2024-12-14T01:08:54Z |
| format | Article |
| id | doaj.art-db8ded9b1afc4adda3548e78e4e0203e |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-14T01:08:54Z |
| publishDate | 2017-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-db8ded9b1afc4adda3548e78e4e0203e2022-12-21T23:22:50ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-02-01624310.3390/ijgi6020043ijgi6020043The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor EnvironmentKai-Wei Chiang0Jhen-Kai Liao1Shih-Huan Huang2Hsiu-Wen Chang3Chien-Hsun Chu4Department of Geomatics, National Cheng-Kung University, 1 University Road, Tainan 701, TaiwanDepartment of Geomatics, National Cheng-Kung University, 1 University Road, Tainan 701, TaiwanDepartment of Geomatics, National Cheng-Kung University, 1 University Road, Tainan 701, TaiwanDepartment of Geomatics, National Cheng-Kung University, 1 University Road, Tainan 701, TaiwanDepartment of Geomatics, National Cheng-Kung University, 1 University Road, Tainan 701, TaiwanSmartphones have become indispensable in our daily lives. Their various embedded sensors have inspired innovations in mobile applications—especially for indoor navigation. However, the accuracy, reliability and generalizability of navigation all continue to struggle in environments lacking a Global Navigation Satellite System (GNSS). Pedestrian Dead Reckoning (PDR) is a popular method for indoor pedestrian navigation. Unfortunately, due to its fundamental principles, even a small navigation error will amplify itself, step by step, generally leading to the need for supplementary resources to maintain navigation accuracy. Virtually all mobile devices and most robots contain a basic camera sensor, which has led to the popularity of image-based localization, and vice versa. However, all of the image-based localization requires continuous images for uninterrupted positioning. Furthermore, the solutions provided by either image-based localization or a PDR are usually in a relative coordinate system. Therefore, this research proposes a system, which uses space resection-aided PDR with geo-referenced images of a previously mapped environment to enable seamless navigation and solve the shortcomings of PDR and image-based localization, and evaluates the performance of space resection with different assumptions using a smartphone. The indoor mobile mapping system (IMMS) is used for the effective production of geo-referenced images. The preliminary results indicate that the proposed algorithm is suitable for universal pedestrian indoor navigation, achieving the accuracy required for commercial applications.http://www.mdpi.com/2220-9964/6/2/43pedestrian dead reckoningspace resectionsmartphonecameraindoor navigation |
| spellingShingle | Kai-Wei Chiang Jhen-Kai Liao Shih-Huan Huang Hsiu-Wen Chang Chien-Hsun Chu The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment ISPRS International Journal of Geo-Information pedestrian dead reckoning space resection smartphone camera indoor navigation |
| title | The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment |
| title_full | The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment |
| title_fullStr | The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment |
| title_full_unstemmed | The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment |
| title_short | The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment |
| title_sort | performance analysis of space resection aided pedestrian dead reckoning for smartphone navigation in a mapped indoor environment |
| topic | pedestrian dead reckoning space resection smartphone camera indoor navigation |
| url | http://www.mdpi.com/2220-9964/6/2/43 |
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