Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-15T21:17:52.713Z Has data issue: false hasContentIssue false
  • English
  • Français

A multimodal sensor system for runway debris detection

Published online by Cambridge University Press:  08 May 2012

Helmut Essen ,
Wolfgang Koch ,
Sebastian Hantscher ,
Rüdiger Zimmermann ,
Paul Warok ,
Martin Schröder ,
Marek Schikora  and
Goert Luedtke
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: [email protected]
Get access Rights & Permissions [Opens in a new window]

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.

Keywords

Millimeter-wave radarMultisensory systemTime-of-flight cameraChange detectionRunway debris
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 4 , Special Issue 2: Special issue on Surveillance Systems for Air Navigation Services , April 2012 , pp. 155 - 162
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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, 261–264.Google Scholar
[2]Patterson, J.: Foreign Object Debris (FOD) research. Int. Airport Rev., Vol. 2, 2008, 22–27.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), 1247–1249.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, 137–140.CrossRefGoogle Scholar
[7]Ringbeck, T.; Schaller, C.; Profittlich, M.: Kameras für die dritte Dimension. Opt. Photonik, Vol. 3, 2009, 30–33 (in German language).Google Scholar
[8]Ringbeck, T.; Hagebeuker, B.: Dreidimensionale Objekterfassung in Echtzeit. AVN, Vol. 114 (7), 2007, 7–8 (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, 147–151.Google Scholar
[11]Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis., 60 (2) (2004), 91–110.Google Scholar