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A multimodal sensor system for runway debris detection

Published online by Cambridge University Press:  08 May 2012

Helmut Essen*
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Wolfgang Koch
Affiliation:
Fraunhofer – FKIE, Department of SDF, Neuenahrer Strasse 20, D53343 Wachtberg, Germany
Sebastian Hantscher
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Rüdiger Zimmermann
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Paul Warok
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Martin Schröder
Affiliation:
Fraunhofer – FHR, Department of MHS, Neuenahrer Strasse 20, D53343 Wachtberg, Germany. Phone: +49 2289435249
Marek Schikora
Affiliation:
Fraunhofer – FKIE, Department of SDF, Neuenahrer Strasse 20, D53343 Wachtberg, Germany
Goert Luedtke
Affiliation:
Fraunhofer – FKIE, Department of SDF, Neuenahrer Strasse 20, D53343 Wachtberg, Germany
*
Corresponding author: H. Essen Email: helmut.essen@fhr.fraunhofer.de

Abstract

For foreign object detection on runways, highly sensitive radar sensors give the opportunity to detect even very small objects, metallic and non-metallic, also under adverse weather conditions. As it is desirable for airport applications to install only small but robust installations along the traffic areas, millimeter-wave radars offer the advantage of small antenna apertures and miniaturized system hardware. A 220-GHz radar was developed, which is capable to serve this application, if several of these are netted to cover the whole traffic area. Although under fortunate conditions the radar allows a classification or even an identification of the debris, the complete system design incorporates 3-D time-of-flight cameras for assistance in the identification process, which are also distributed along the traffic areas. The system approach further relies upon a change detection algorithm on the netted information to discriminate non-stationary alarms and reduce the false alarm ratio.

Type
Research Papers
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2012

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References

REFERENCES

[1]Beasley, P.D.L.; Binns, G.; Hodges, R.D.; Badley, R.J.: Tarsier®, a millimetre wave radar for airport runway debris detection, in Radar Conf., 2004. EURAD. First European Radar Conf., Amsterdam, 2004, 261264.Google Scholar
[2]Patterson, J.: Foreign Object Debris (FOD) research. Int. Airport Rev., Vol. 2, 2008, 2227.Google Scholar
[3]Essen, H.; Luedtke, G.; Warok, P.; Koch, W.; Schikora, M.; Wild, K.: Millimeterwave radar network for foreign object detection, in 2nd Int. Workshop on Cognitive Information Processing (CIP), Elba, June 14–16, 2010.Google Scholar
[4]Ringbeck, T.: A 3D time of flight camera for object detection, in Optical 3-D Measurement Techniques, ETH Zurich, 9–12 July 2007.Google Scholar
[5]Essen, H.; Wahlen, A.; Sommer, R.; Konrad, G.; Schlechtweg, M.; Tessmann, A.: Very high bandwidthmillimetre-wave radar. Electron. Lett., 41 (22) (2005), 12471249.CrossRefGoogle Scholar
[6]Tessmann, A., et al. : 220 GHz low-noise amplifier modules for radiometric imaging applications, in Proc. 1st European Microwave Integrated Circuits Conf., September 2006, 137140.CrossRefGoogle Scholar
[7]Ringbeck, T.; Schaller, C.; Profittlich, M.: Kameras für die dritte Dimension. Opt. Photonik, Vol. 3, 2009, 3033 (in German language).Google Scholar
[8]Ringbeck, T.; Hagebeuker, B.: Dreidimensionale Objekterfassung in Echtzeit. AVN, Vol. 114 (7), 2007, 78 (in German language).Google Scholar
[9]Fatihi, N.; Hantscher, S.; Rubart, J.; Krebs, C.; Nüßler, D.; Essen, H.: Imaging permittivity measurements for automated material inspection, in Progress in Electromagnetics Research Symp., March 2011.Google Scholar
[10]Harris, C.; Stephens, M.: A combined corner and edge detector, in Proc. of the 4th Alvey Vision Conf., 1998, 147151.Google Scholar
[11]Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis., 60 (2) (2004), 91110.Google Scholar