A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional Autónoma de México
2013
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| _version_ | 1876473692862545920 |
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| author | F. Tsai |
| author_facet | F. Tsai |
| contents | A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks F. Tsai Y.-S. Chiou H. Chang Ingeniería Kalman filtering wireless sensor network zigBee positioning system normalized cross correlation location estimation and tracking This paper presents the performance of an adaptive location-estimation technique combining Kalman filtering (KF) with vision assisting for wireless sensor networks. For improving the accuracy of a location estimator, a KF procedure is employed at a mobile terminal to filter variations of the location estimate. Furthermore, using a vision-assisted calibration technique, the proposed approach based on the normalized cross-correlation scheme is an accuracy enhancement procedure that effectively removes system errors causing uncertainty in real dynamic environments. Namely, according to the vision-assisted approach to extract the locations of the reference nodes as landmarks, a KFbased approach with the landmark information can calibrate the location estimation and reduce the corner effect of a location-estimation system. In terms of the location accuracy estimated from the proposed approach, the experimental results demonstrate that more than 60 percent of the location estimates have error distances less than 1.4 meters in a ZigBee positioning platform. As compared with the non-tracking algorithm and non-vision assisted approach, the proposed algorithm can achieve reasonably good performance. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47426225013 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.11 |
| format | Artículo científico |
| id | redalyc_47426225013 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks F. Tsai Ingeniería Kalman filtering wireless sensor network zigBee positioning system normalized cross correlation location estimation and tracking A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks F. Tsai Y.-S. Chiou H. Chang Ingeniería Kalman filtering wireless sensor network zigBee positioning system normalized cross correlation location estimation and tracking This paper presents the performance of an adaptive location-estimation technique combining Kalman filtering (KF) with vision assisting for wireless sensor networks. For improving the accuracy of a location estimator, a KF procedure is employed at a mobile terminal to filter variations of the location estimate. Furthermore, using a vision-assisted calibration technique, the proposed approach based on the normalized cross-correlation scheme is an accuracy enhancement procedure that effectively removes system errors causing uncertainty in real dynamic environments. Namely, according to the vision-assisted approach to extract the locations of the reference nodes as landmarks, a KFbased approach with the landmark information can calibrate the location estimation and reduce the corner effect of a location-estimation system. In terms of the location accuracy estimated from the proposed approach, the experimental results demonstrate that more than 60 percent of the location estimates have error distances less than 1.4 meters in a ZigBee positioning platform. As compared with the non-tracking algorithm and non-vision assisted approach, the proposed algorithm can achieve reasonably good performance. 2013 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47426225013 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.11 |
| title | A Positioning Scheme Combining Location Tracking with Vision Assisting for Wireless Sensor Networks |
| topic | Ingeniería Kalman filtering wireless sensor network zigBee positioning system normalized cross correlation location estimation and tracking |
| url | https://www.redalyc.org/articulo.oa?id=47426225013 |