期刊论文详细信息
Sensors
A New Blondin System for Surveying and Photogrammetry
Federico Cuesta1  Francisco M. Lopez-Rodriguez1 
[1] Escuela Técnica Superior de Ingeniería, University of Seville, Camino de los Descubrimientos s/n, Seville E-41092, Spain; E-Mail:
关键词: sensors integration;    surveying;    construction site;    cascaded extended Kalman filter (EKF);    structure from motion (SfM);    dense point cloud;    digital surface model (DSM);   
DOI  :  10.3390/s131216894
来源: mdpi
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【 摘 要 】

The main objective of the system presented in this paper is to provide surveyors and engineers with a new photogrammetry device that can be easily integrated with surveying total stations and a global navigation satellite system (GNSS) infrastructure at a construction site, taking advantage of their accuracy and overcoming limitations of aerial vehicles with respect to weight, autonomy and skilled operator requirements in aerial photogrammetry. The system moves between two mounting points, in a blondin ropeway configuration, at the construction site, taking pictures and recording the data of the position and the orientation along the cable path. A cascaded extended Kalman filter is used to integrate measurements from the on-board inertial measurement unit (IMU), a GPS and a GNSS. Experimental results taken in a construction site show the system performance, including the validation of the position estimation, with a robotic surveying total station, or the creation of a digital surface model (DSM), using the emergent structure from motion (SfM) techniques and open software. The georeferencing of the DSM is performed based on estimated camera position or using ground control points (GCPs).

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.

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