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MOBILE MAPPING SYSTEM BASED ON ACTION CAMERAS.

Authors :
Gonçalves, J. A.
Pinhal, A.
Source :
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2018, Vol. 42 Issue 1, p167-171, 5p
Publication Year :
2018

Abstract

Action cameras can operate in outdoor conditions, such as outside a car, and provide good quality imagery that can be exploited to collect geospatial data by photogrammetric means. Recent models include GPS, which can deliver position and time of individual images and video frames. That is the case of the very popular camera, Gopro Hero 5. This paper describes the implementation of a mobile mapping system, based on a GoPro Hero 5 camera mounted on the side rearview mirror of a car. Although the system can be dependent on the camera GPS positions only, it was developed to include a GNSS dual frequency receiver, carried inside the car, on the dashboard. Within good observation conditions, without tall buildings, differential positioning (either RTK or PPK) provides the trajectory with accuracy of a few centimetres. The precise time of individual frames is obtained from the camera GPS and positions are interpolated from the GNSS receiver. Assuming the car moves in a horizontal plane and the camera has no significant tilts, the system is treated in planimetric terms, with camera axis azimuth derived from the vehicle trajectory. Positions of observed objects, such as traffic signs, are derived from consecutive frames. Tests carried out in a sparse urban environment have shown planimetric accuracy better than 40 cm, appropriate for large scale mapping, such as 1:2000. The system can be improved in several forms, through processing techniques, such as structure from motion, but without the incorporation of additional hardware. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
CARTOGRAPHY
CAMERAS
GEOSPATIAL data

Details

Language :
English
ISSN :
16821750
Volume :
42
Issue :
1
Database :
Complementary Index
Journal :
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
Publication Type :
Academic Journal
Accession number :
132049002
Full Text :
https://doi.org/10.5194/isprs-archives-XLII-1-167-2018