ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume IV-2/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 171–177, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-171-2019
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 171–177, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-171-2019

  29 May 2019

29 May 2019

A SYSTEM FOR MONITORING OF UAV CAMERA ORIENTATION: DESIGN AND INITIAL ANALYSIS

J. Tekavec, K. Oštir, A. Lisec, and G. Štebe J. Tekavec et al.
  • University of Ljubljana, Faculty of Civil and Geodetic Engineering, Ljubljana, Slovenia

Keywords: UAV, rolling shutter, vibration, MEMS, gyroscope

Abstract. Many unmanned aerial vehicles (UAV) that are used for aerial mapping are equipped with consumer-grade digital cameras, which use CMOS (Complementary metal–oxide–semiconductor) image sensors. Majority of these sensors capture images using an electronic rolling shutter, which can cause distortions on the image if either the camera or the captured objects are moving. This phenomenon is usually ignored in aerial mapping with UAVs in practice. However, there is a lack of published research papers that would prove the effect can be neglected. In this paper, we present the design of the system for monitoring UAV camera orientation. Furthermore, the calibration process to get correct and reliable readings is described. The initial analysis of the data is focused on assessing the accuracy that can be achieved using the proposed system. The main component of our system is a MEMS (Microelectromechanical system) gyroscope. It was selected for its low weight and size, low price and high sampling rates which are all very beneficial characteristics for a system, mounted on a UAV. In a paper, a working prototype is presented that uses the selected MEMS gyroscope connected to a single-board computer. The presented initial analysis of collected data shows, that the system would be capable to indirectly detect the image distortions, caused by camera orientation changes during exposure, in the range of typical ground sample distance (GSD).