Abstract
The technique of the boom docking into the receptacle of the receiver is a difficult problem in the procedure of autonomous aerial refueling. The technique by image tracking is a hot solution to the problem and appropriate image information is required to calculate the coordinates of the target rigidly. A camera platform control system based on CamShift algorithm merged with Current Statistical model is proposed in this paper to adjust camera angle for the target tracking. The position and dimensions of the tracked target could be acquired by the CamShift algorithm, accordingly the camera can be controlled to turn to the target. To solve the background interference and occlusion problem, frame interpolation and tracking model are introduced. The simulation results show that the camera by the control way introduced in this paper is able to aim at the target when the speed of the target is in the required limit.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Automated Aerial Refuel(AAR) Technologies and Challenges. AFRL- VA -WP-TP -2004-314
Smith Richard, K.: Seventy- five Years of In- flight Refueling Highlights(1923-1998). Air Force History and Museu ms Program, Lockland (1998)
Rong Li, X.: Survey of Maneuvering Target. Part 1: Dynamic Models, IEEE Transactions on Aerospace and Electronic Systems 39(4), 1337–1364 (2003)
Mookerjee, P., Reifler, F.: Reduced state estimator for systems with parametric inputs. IEEE Transactions on Aerospace and Electronic Systems (2004)
Bar-Shalom, Y., Fortmann, T.E.: Tracking and Data Association. Academic press (1988)
Lee, D.-J.: Nonlinear Bayesian filtering with applications to estimation and navigation. Chonbuk National University (2005)
Yang, B., Zhou, H., Wang, X.: Target Tracking using Predicted Cam Shift. In: Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25 - 27 (2008)
Cheng, Y.: Mean Shift, mode seeking and clustering. IEEE Trans. Pattern Analysis and Machine Intelligence 17(8), 790–799 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jia, Q., Shi, S., Qu, Y., Li, G. (2012). Research on Alignment of Camera and Receptacle during the Autonomous Aerial Refueling. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-33509-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33508-2
Online ISBN: 978-3-642-33509-9
eBook Packages: Computer ScienceComputer Science (R0)