ACCURACY ASSESSMENT OF 3D MODELS GENERATED FROM GOOGLE STREET VIEW IMAGERY

12 citations as recorded by crossref.

1. Automatic Positioning of Street Objects Based on Self-Adaptive Constrained Line of Bearing from Street-View Images G. Li et al. 10.3390/ijgi11040253
2. 3D reconstruction of spherical images: a review of techniques, applications, and prospects S. Jiang et al. 10.1080/10095020.2024.2313328
3. Predicting Traffic-Related Air Pollution Using Feature Extraction from Built Environment Images A. Ganji et al. 10.1021/acs.est.0c00412
4. Street view imagery in urban analytics and GIS: A review F. Biljecki & K. Ito 10.1016/j.landurbplan.2021.104217
5. Exploring the vertical dimension of street view image based on deep learning: a case study on lowest floor elevation estimation H. Ning et al. 10.1080/13658816.2021.1981334
6. Semi-Automatic Geographic Information System Framework for Creating Photo-Realistic Digital Twin Cities to Support Autonomous Driving Research H. Xu et al. 10.1177/03611981231205884
7. A comprehensive framework for evaluating the quality of street view imagery Y. Hou & F. Biljecki 10.1016/j.jag.2022.103094
8. A graph-matching approach for cross-view registration of over-view and street-view based point clouds X. Ling & R. Qin 10.1016/j.isprsjprs.2021.12.013
9. Metric Rectification of Spherical Images L. Barazzetti 10.3390/ijgi11040248
10. A UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection X. Zhang et al. 10.1016/j.isprsjprs.2019.11.016
11. 3D building reconstruction from single street view images using deep learning H. Pang & F. Biljecki 10.1016/j.jag.2022.102859
12. Computer vision based first floor elevation estimation from mobile LiDAR data J. Xia & J. Gong 10.1016/j.autcon.2023.105258