Abstract
This paper presents real time results of a decentralised airborne data fusion system tracking multiple ground based targets. These target estimates are then used to construct a map of the environment. A decentralised communication strategy is employed which is robust to communication latencies and dropouts and results in each sensing node having a local estimate using global information.
In addition, this paper describes both hardware and algorithms used to deploy two sensor nodes for such a task. Two sensor types will be discussed, vision and mm wave radar. The problems introduced by locating the sensors on air vehicles are both interesting and challenging. A total of four unmanned air vehicles will be employed to carry node payloads. Weight and power restrictions of the payloads coupled with the vehicle dynamics make the task of processing and fusing vision and radar based data a challenging problem indeed. This paper aims to highlight many of the problems that have been encountered in developing both hardware and software to operate under such constraints.
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References
G. Brooker, M. Bishop, and Steve Scheding. Millimetre waves for robotics. In Australasian Conference on Robotics and Automation, Sydney, 2001.
Stephen Clark. Autonomous Land Vehicle Navigation Using Millimeter Wave Radar. Phd thesis, University of Sydney, 1999.
R. Deaves. The Management of Communications in Decentralised Bayesian Data Fusion Systems. Ph.D Thesis, Bristol University, Dept of Electrical and Electronic Engineering, 1999.
Salah Sukkarieh, Ali Göktogan, Jong-Hyuk Kim, Eric Nettleton, Jeremy Randle, Matthew Ridley, Stuart Wishart, and Hugh Durrant-Whyte. Cooperative data fusion and control amongst multiple uninhabited air vehicles. In ISER 2002 Seventh International Symposium on Experimental Robotics, 2002.
M. Fernandez. Failure Detection and Isolation in Decentralised Multisensor Systems. Ph.D Thesis, The University of Oxford, 1993.
S. Grime and H. Durrant-Whyte. Data fusion in decentralized sensor networks. Control Engineering Practice, 2, No 5:849–863, 1994.
Stewart Harper Grime. Communication in Decentralised Sensing Architectures. PhD thesis, Department of Engineering Science, University of Oxford, 1992.
O. Heikkilä, J. & Silvén. A four-step camera calibration procedure with implicit image correction. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’97), San Juan, Puerto Rico, pages 1106–1112, 1997.
J. Kim and S. Sukkarieh. Flight test results of gps/ins navigation loop for an autonomous unmanned aerial vehicle (uav). In Proceedings of ION GPS, pages 510–517, 2002.
J. Manyika. An Information Theoretic Approach to Data Fusion and Sensor Management. PhD Thesis, The University of Oxford, 1993.
P. Maybeck. Stochastic Models, Estimation and Control, Volume 1. Academic Press Inc, New York, 1979.
E. Nettleton, H. Durrant-Whyte, P. Gibbens, and A. Göktogan. Multiple platform localisation and map building. In G.T. McKee and P.S. Schenker, editors, Sensor Fusion and Decentralised Control in Robotic Stystems III, volume 4196, pages 337–347, Bellingham, 2000.
D. Nicholson, C. Lloyd, S. Julier, and J. Uhlmann. Scalable distributed data fusion. In Proceedings of the Fifth International Conference on Information Fusion, volume 1, pages 630–635, Sunnyvale, 2002.
Lawrence D. Stone, Carl A. Barlow, and Thomas L. Corwin. Bayesian Multiple Target Tracking. Artech House, 1999.
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Ridley, M., Nettleton, E., Göktogan, A., Brooker, G., Sukkarieh, S., Durrant-Whyte, H.F. (2003). Decentralised Ground Target Tracking with Heterogeneous Sensing Nodes on Multiple UAVs. In: Zhao, F., Guibas, L. (eds) Information Processing in Sensor Networks. IPSN 2003. Lecture Notes in Computer Science, vol 2634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36978-3_37
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DOI: https://doi.org/10.1007/3-540-36978-3_37
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