Lee, C.-H.C.-H.LeeSu, Y.-C.Y.-C.SuLIANG-GEE CHEN2018-09-102018-09-10201215206149https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867602210&doi=10.1109%2fICASSP.2012.6288375&partnerID=40&md5=3838d8365bd9b47df76b3507b29e0810http://scholars.lib.ntu.edu.tw/handle/123456789/369691In 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.GPS; navigation; positioning; street view recognitionDistance estimation; Path refinement; Position estimation; positioning; Positioning system; User location; Vision based; Visual recognition; Estimation; Navigation; Navigation systems; Signal processing; Global positioning systemconference paper10.1109/ICASSP.2012.62883752-s2.0-84867602210