https://scholars.lib.ntu.edu.tw/handle/123456789/369691
Title: | Accurate positioning system based on street view recognition | Authors: | Lee, C.-H. Su, Y.-C. LIANG-GEE CHEN |
Keywords: | GPS; navigation; positioning; street view recognition | Issue Date: | 2012 | Start page/Pages: | 2305-2308 | Source: | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | Conference: | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 | Abstract: | In this paper, an accurate and robust positioning system based on street view recognition is introduced. Vision-based technique is employed for dynamically recognizing shop or building signs on the GPS map. Two mechanisms including view-angle invariant distance estimation and path refinement are proposed for robust and accurate position estimation. Through the combination of visual recognition technique and GPS scale data, the real user location can be accurately inferred. Experimental results demonstrate that the proposed system is reliable and feasible. Compared with 20m error of position estimation provided by the GPS, our system only has 0.97m error estimation. © 2012 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867602210&doi=10.1109%2fICASSP.2012.6288375&partnerID=40&md5=3838d8365bd9b47df76b3507b29e0810 http://scholars.lib.ntu.edu.tw/handle/123456789/369691 |
ISSN: | 15206149 | DOI: | 10.1109/ICASSP.2012.6288375 | SDG/Keyword: | Distance estimation; Path refinement; Position estimation; positioning; Positioning system; User location; Vision based; Visual recognition; Estimation; Navigation; Navigation systems; Signal processing; Global positioning system |
Appears in Collections: | 電機工程學系 |
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