Three‐dimensional positioning from Google street view panoramas

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, cascading style sheets and HyperText markup language in developing a platform for accessing the orientation parameters of Google street view (GSV) panoramas in order to determine the three-dimensional (3D) position of points of interest (POIs) by intersection between two nearby GSV images and to validate the 3D position of a GSV panorama by resection from three known POIs. Extracted 3D positional information of the features are then packed in keyhole markup language format and stored in GAE Servlet for future LBS applications integrated with Google Maps and Google Earth. Experimental results from two tests on intersection and one test on resection of GSV panoramas in National Chung Hsing University campus were examined with error reports and source analyses. With automatic conjugate image-matching capability, the developed system is suitable for volumetric data collection in establishing web-based LBS applications integrated with GSV panoramas and Google Maps/Earth in which positional accuracy is not primarily concerned.

Assessing street-level urban greenery using Google Street View and a modified green view index

“…The street view is the same as a user sees a GSV panorama, which is presented interactively over the Web. GSV panorama is a 360 • surrounding image generated from the eight original images captured by the eight horizontal cameras by stitching together in sequences (Tsai and Chang, 2013). The GSV panoramic images or panoramas have 360 • horizontal coverage and 180 • vertical coverage.…”

A Technical and Operational Perspective on Quality Analysis of Stitching Images with Multi-Row Panorama and Multimedia Sources for Visualizing the Tourism Site of Onshore Wind Farm

“…On the other hand, the virtual-tour-based platform constructed by panoramic images in this study still provides the two-dimensional geometry causing that the accurate measurement is limited. Multiple panoramic stations for the photogrammetric task [46][47][48][49] to produce a truly 3D virtual tour can be explored in the future.…”

A Multiview Semantic Vegetation Index for Robust Estimation of Urban Vegetation Cover

“…The GSV panorama view is identical to the real-world view. The process of producing a 360°GSV panorama is to sequentially capture horizontal X-number (X = 6) images and vertical Y-numbers (Y = 3) images of the camera [28]. The GSV Image API (Google) [27], together with the position and travelling direction of the GSV car, can be used to obtain every accessible GSV image in an HTTP URL form, for example (https://maps.googleapis.com/maps/api/streetview?parameters (accessed on 15 August 2021).…”