Commenced in January 2007
Paper Count: 31108
Detection, Tracking and Classification of Vehicles and Aircraft based on Magnetic Sensing Technology
Abstract:Existing ground movement surveillance technologies at airports are subjected to limitations due to shadowing effects or multiple reflections. Therefore, there is a strong demand for a new sensing technology, which will be cost effective and will provide detection of non-cooperative targets under any weather conditions. This paper aims to present a new intelligent system, developed within the framework of the EC-funded ISMAEL project, which is based on a new magnetic sensing technology and provides detection, tracking and automatic classification of targets moving on the airport surface. The system is currently being installed at two European airports. Initial experimental results under real airport traffic demonstrate the great potential of the proposed system.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073531Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1641
 European Commission, Single European Sky, European Communities, 2001
 EUROCONTROL, Air Traffic Statistics and Forecasts: Forecast of Annual Number of IFR Flights (2004-2010), Vol. 2.
 R. Baron, "Runway Incursions: Where are we", http:// airlinesafety.com /editorials/RunwayIncursions.htm
 C. Ntabanas "Electronic low visibility systems for aerodromes", In Proceedings of the First International Conference on Airports Planning, Design and Operation, 509, 2003.
 H. Gao, M. Weinmann, C. Stockhammer, N. Grammalidis, I. Gragopoulos, K. Dimitropoulos, Th. Heuer and U. Hartmann. ISMAEL - Intelligent surveillance and management for airfield applications based on low cost magnetic field detectors, Joint International Symposium on Sensors and Systems for Airport Surveillance, 2005.
 H. Gao and U. Hartmann, Einsatz hochempfindlicher Magnetfeldsensoren zur Erfassung von Fahrzeugen, Magazin Forschung 1, 2, 2004.
 S. Blackman and R. Popoli, Design and analysis of modern tracking systems, Artech House, Boston, USA, 1999.
 I.J. Cox and S.L. Hingorani, An Efficient Implementation of Reid's Multiple Hypothesis Tracking Algorithm and its Evaluation for the Purpose of Visual Tracking, IEEE Transactions on pattern analysis and machine intelligence, 18, 138, 1996
 W.H. Press, S.A. Teukolsky, W.T. Vetterling and B.P. Flannery, "Numerical recipes in C: The art of scientific computing", Cambridge University Press, Second edition, 1998.