ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 305-309, 2012
https://doi.org/10.5194/isprsannals-I-4-305-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
20 Jul 2012
FEATURE POSITIONING ON GOOGLE STREET VIEW PANORAMAS
V. J. D. Tsai and C.-T. Chang Dept. of Civil Engineering, National Chung Hsing University, Taichung 40227, Taiwan
Keywords: Google Maps API, Google Street View, 3D Positioning, Intersection, Points of Interest (POI) Abstract. Location-based services (LBS) on web-based maps and images have come into real-time since Google launched its Street View imaging services in 2007. This research employs Google Maps API and Web Service, GAE for JAVA, AJAX, Proj4js, CSS and HTML in developing an internet platform for accessing the orientation parameters of Google Street View (GSV) panoramas in order to determine the three dimensional position of interest features that appear on two overlapping panoramas by geometric intersection. A pair of GSV panoramas was examined using known points located on the Library Building of National Chung Hsing University (NCHU) with the root-mean-squared errors of ±0.522m, ±1.230m, and ±5.779m for intersection and ±0.142m, ±1.558m, and ±5.733m for resection in X, Y, and h (elevation), respectively. Potential error sources in GSV positioning were analyzed and illustrated that the errors in Google provided GSV positional parameters dominate the errors in geometric intersection. The developed system is suitable for data collection in establishing LBS applications integrated with Google Maps and Google Earth in traffic sign and infrastructure inventory by adding automatic extraction and matching techniques for points of interest (POI) from GSV panoramas.
Conference paper (PDF, 1122 KB)


Citation: Tsai, V. J. D. and Chang, C.-T.: FEATURE POSITIONING ON GOOGLE STREET VIEW PANORAMAS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-4, 305-309, https://doi.org/10.5194/isprsannals-I-4-305-2012, 2012.

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