Paper
17 January 2005 Photogrammetric bridging of GPS outages in mobile mapping
Author Affiliations +
Proceedings Volume 5665, Videometrics VIII; 56650W (2005) https://doi.org/10.1117/12.587843
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
A photogrammetric strategy for the orientation of image sequences acquired by Mobile Mapping Vehicles (MMV) is presented. The motivations for this are twofold: to allow image georeferencing in short GPS outages for the MMV under development at the University of Parma, currently lacking an IMU; to improve the consistency of image georeferencing between asynchronous frames. The method may also contribute to limit the drift errors of low-cost integrated IMU/GPS systems in GPS outages. Drawing on techniques developed for structure and motion (S&M) reconstruction from image sequences and accounting for the specific conditions of the MMV imaging geometry, highly reliable multi-image matches are found, refining image orientation with a final bundle adjustment. Dealing with scenes with poor image texture and the automation of the convergence of the bundle to the solution are still problems. After successfully orienting image sequences up to about 200 m long, the accuracy of the orientation and reconstruction process was checked in a test field. Although not all constraints between synchronous image pairs are yet enforced, the accuracy degradation along the sequence was found to be still well within the specifications for the MMV. Furthermore curved path and possible solution to the poorness of tracked points are investigated.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Riccardo Roncella, Fabio Remondino, and Gianfranco Forlani "Photogrammetric bridging of GPS outages in mobile mapping", Proc. SPIE 5665, Videometrics VIII, 56650W (17 January 2005); https://doi.org/10.1117/12.587843
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Cited by 11 scholarly publications.
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KEYWORDS
Global Positioning System

Georeferencing

Image processing

System integration

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