Augmenting Flight Imagery from Aerial Refueling-Reference-Cited by-同舟云学术

Augmenting Flight Imagery from Aerial Refueling

Published:2019 Issue: Volume: Page:154-165
ISSN:0302-9743
Container-title:Advances in Visual Computing
language:
Short-container-title:

Author:

Anderson James D.^ORCID,Nykl Scott^ORCID,Wischgoll Thomas^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33723-0_13

Reference21 articles.

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2. Campa, G., Mammarella, M., Napolitano, M.R., Fravolini, M.L., Pollini, L., Stolarik, B.: A comparison of pose estimation algorithms for machine vision based aerial refueling for UAVs. In: 14th Mediterranean Conference on Control and Automation, MED 2006 (2006). https://doi.org/10.1109/MED.2006.328769

3. Campa, G., Napolitano, M.R., Fravolini, M.L.: Simulation environment for machine vision based aerial refueling for UAVs. IEEE Trans. Aerosp. Electron. Syst. 45, 138–151 (2009). https://doi.org/10.1109/TAES.2009.4805269

4. Crow, F.C.: Shadow algorithms for computer graphics. ACM SIGGRAPH Comput. Graphics 11, 242–248 (2005). https://doi.org/10.1145/965141.563901

5. Dallmann, W.E.: Infrared and electro-optical stereo vision for automated aerial refueling. Master’s thesis, Air Force Institute of Technology (2019)

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