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Proceedings Paper

Automatic data acquisition using a kinematic surveying system
Author(s): Christian Hock; W. Caspary; H. Heister; J. Klemm; H. Sternberg
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Paper Abstract

New technologies and techniques for data aquisition and processing allow to determine 3D positions of environmental objects, which meet the demands of highest accuracy asked in geodesy and surveying as well as the omnipresent call for low cost systems. This paper presents a new approach to automatic digital information acquisition using the kinematic surveying system for real time data capturing of GPS-, IMU-, and CCD-camera output and post-mission data processing. The absolute position of the moving vehicle within the global corrdinate system (WGS84) is obtained by combining data from a GPS receiver and an inertial measuring unit (strapdown IMU). For compensating the known errors of both sensors, additional sensing devices like odometer and barometer are introduced. Further improvement in position estimation is achieved by stereo photogrammetric measurements of known environmental objects, the so called landmarks. A digital stereo vision-system creates successive series of high resolution grayscale images, while a SVHS video system records a continous image sequence of the traveled road and the nearby surroundings. On its way to complete automatic object positioning, a semi-automatic procedure for image processing has been chosen. The human operator takes care of the image interpretation and the search for wanted objects, while the feature extraction process is completely controlled by software. Depending on the demands of the application, all visible objects can be extracted, classified and photogrammetrically positioned. The parameters and the images of the accumulated objects are indexed to the 3D-trajectory and saved in a GIS-database.

Paper Details

Date Published: 13 September 1995
PDF: 9 pages
Proc. SPIE 2598, Videometrics IV, (13 September 1995); doi: 10.1117/12.220908
Show Author Affiliations
Christian Hock, Univ. der Bundeswehr Muenchen (Germany)
W. Caspary, Univ. der Bundeswehr Muenchen (Germany)
H. Heister, Univ. der Bundeswehr Muenchen (Germany)
J. Klemm, Univ. der Bundeswehr Muenchen (Germany)
H. Sternberg, Univ. der Bundeswehr Muenchen (Germany)


Published in SPIE Proceedings Vol. 2598:
Videometrics IV
Sabry F. El-Hakim, Editor(s)

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