Prediction of aerial-image motion blurs due to the flying vehicle dynamics and camera characteristics in a virtual environment

This study presents comprehensive studies on practical means to predict aerial-image motion blurs due to the flying vehicle dynamics, including flying altitude; cruising speed; and angular velocities and finally installed camera characteristics; such as, frame rate and image size. The resulting predictions of blur values are in-turn used to generate blurry images to be fed as input data for later use in a de-blurring-in-the-loop of a Mono-simultaneous localization and mapping system. The whole process is coordinated by means of an integrated aerial virtual environment. The integrated aerial virtual environment consists of a three-dimensional graphical engine which could communicate with a full six-degrees of freedom aircraft dynamic simulator to precisely generate trajectories of the flying vehicle. Any accumulated real-time image taken by the camera installed on the aircraft during its mission considers the relevant vehicle states for necessary adjustments. The authors practically exploit C++, High-Level Shader Language, as well as JSBSim to expand the components of the package. Extensive case-studies show that the developed approach is quite effective in controlled environments.

• Record URL:
  https://doi.org/10.1177/0954410012450107
• Record URL:
  http://pig.sagepub.com/cgi/content/abstract/227/7/1055
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/19966973
• Supplemental Notes:
  • Reprinted by permission of Sage Publications, Ltd.
• Authors:
  • Atashgah, M A Amiri
  • Malaek, S M B
• Publication Date: 2013-7

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 1055-1067
• Serial:
  • Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
  • Volume: 227
  • Issue Number: 7
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0954-4100
  • EISSN: 2041-3025
  • Serial URL: http://pig.sagepub.com/

Subject/Index Terms

• TRT Terms: Aerial photography; Aircraft; Cameras; Case studies; Flight simulators; Vehicle dynamics; Virtual reality
• Uncontrolled Terms: Optical blur
• Subject Areas: Aviation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01484020
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 6 2013 4:38PM