Vision-Based Georeferencing of GPR in Urban Areas
AbstractGround Penetrating Radar (GPR) surveying is widely used to gather accurate knowledge about the geometry and position of underground utilities. The sensor arrays need to be coupled to an accurate positioning system, like a geodetic-grade Global Navigation Satellite System (GNSS) device. However, in urban areas this approach is not always feasible because GNSS accuracy can be substantially degraded due to the presence of buildings, trees, tunnels, etc. In this work, a photogrammetric (vision-based) method for GPR georeferencing is presented. The method can be summarized in three main steps: tie point extraction from the images acquired during the survey, computation of approximate camera extrinsic parameters and finally a refinement of the parameter estimation using a rigorous implementation of the collinearity equations. A test under operational conditions is described, where accuracy of a few centimeters has been achieved. The results demonstrate that the solution was robust enough for recovering vehicle trajectories even in critical situations, such as poorly textured framed surfaces, short baselines, and low intersection angles. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Barzaghi, R.; Cazzaniga, N.E.; Pagliari, D.; Pinto, L. Vision-Based Georeferencing of GPR in Urban Areas. Sensors 2016, 16, 132.
Barzaghi R, Cazzaniga NE, Pagliari D, Pinto L. Vision-Based Georeferencing of GPR in Urban Areas. Sensors. 2016; 16(1):132.Chicago/Turabian Style
Barzaghi, Riccardo; Cazzaniga, Noemi E.; Pagliari, Diana; Pinto, Livio. 2016. "Vision-Based Georeferencing of GPR in Urban Areas." Sensors 16, no. 1: 132.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.