VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES
The ubiquity of mobile devices (such as smartphones and tablet-PCs) has encouraged the use of location-based services (LBS) that are relevant to the current location and context of a mobile user. The main challenge of LBS is to find a pervasive and accurate personal navigation system (PNS) in differ...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2012-07-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/231/2012/isprsarchives-XXXIX-B4-231-2012.pdf |
| _version_ | 1818587202494398464 |
|---|---|
| author | S. Saeedi A. Moussa Dr. N. El-Sheimy |
| author_facet | S. Saeedi A. Moussa Dr. N. El-Sheimy |
| author_sort | S. Saeedi |
| collection | DOAJ |
| description | The ubiquity of mobile devices (such as smartphones and tablet-PCs) has encouraged the use of location-based services (LBS) that are relevant to the current location and context of a mobile user. The main challenge of LBS is to find a pervasive and accurate personal navigation system (PNS) in different situations of a mobile user. In this paper, we propose a method of personal navigation for pedestrians that allows a user to freely move in outdoor environments. This system aims at detection of the context information which is useful for improving personal navigation. The context information for a PNS consists of user activity modes (e.g. walking, stationary, driving, and etc.) and the mobile device orientation and placement with respect to the user. After detecting the context information, a low-cost integrated positioning algorithm has been employed to estimate pedestrian navigation parameters. The method is based on the integration of the relative user’s motion (changes of velocity and heading angle) estimation based on the video image matching and absolute position information provided by GPS. A Kalman filter (KF) has been used to improve the navigation solution when the user is walking and the phone is in his/her hand. The Experimental results demonstrate the capabilities of this method for outdoor personal navigation systems. |
| first_indexed | 2024-12-16T09:05:07Z |
| format | Article |
| id | doaj.art-829148c2c3d7437ebb154bfaa6f76729 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-16T09:05:07Z |
| publishDate | 2012-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-829148c2c3d7437ebb154bfaa6f767292022-12-21T22:37:05ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B423123610.5194/isprsarchives-XXXIX-B4-231-2012VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICESS. Saeedi0A. Moussa1Dr. N. El-Sheimy2Dept. of Geomatic Engineering, The University of Calgary, 2500, University Dr, NW, Calgary, AB, T2N 1N4 CanadaDept. of Geomatic Engineering, The University of Calgary, 2500, University Dr, NW, Calgary, AB, T2N 1N4 CanadaDept. of Geomatic Engineering, The University of Calgary, 2500, University Dr, NW, Calgary, AB, T2N 1N4 CanadaThe ubiquity of mobile devices (such as smartphones and tablet-PCs) has encouraged the use of location-based services (LBS) that are relevant to the current location and context of a mobile user. The main challenge of LBS is to find a pervasive and accurate personal navigation system (PNS) in different situations of a mobile user. In this paper, we propose a method of personal navigation for pedestrians that allows a user to freely move in outdoor environments. This system aims at detection of the context information which is useful for improving personal navigation. The context information for a PNS consists of user activity modes (e.g. walking, stationary, driving, and etc.) and the mobile device orientation and placement with respect to the user. After detecting the context information, a low-cost integrated positioning algorithm has been employed to estimate pedestrian navigation parameters. The method is based on the integration of the relative user’s motion (changes of velocity and heading angle) estimation based on the video image matching and absolute position information provided by GPS. A Kalman filter (KF) has been used to improve the navigation solution when the user is walking and the phone is in his/her hand. The Experimental results demonstrate the capabilities of this method for outdoor personal navigation systems.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/231/2012/isprsarchives-XXXIX-B4-231-2012.pdf |
| spellingShingle | S. Saeedi A. Moussa Dr. N. El-Sheimy VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES |
| title_full | VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES |
| title_fullStr | VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES |
| title_full_unstemmed | VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES |
| title_short | VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES |
| title_sort | vision aided context aware framework for personal navigation services |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B4/231/2012/isprsarchives-XXXIX-B4-231-2012.pdf |
| work_keys_str_mv | AT ssaeedi visionaidedcontextawareframeworkforpersonalnavigationservices AT amoussa visionaidedcontextawareframeworkforpersonalnavigationservices AT drnelsheimy visionaidedcontextawareframeworkforpersonalnavigationservices |