UWB material characterisation and object recognition with applications in fire and security

Salman, Rahmi; Schultze, Thorsten; Willms, Ingolf

doi:10.1109/icuwb.2008.4653386

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…The IBST algorithm is applied to both, simulation results (for obtaining reference data) and the measurement data. These images are postprocessed using two object recognition algorithms, i. e. the moment invariant method and polar Fourier descriptors, explained in detail in [4] and [18].…”

Section: Measurement Setup and Resultsmentioning

confidence: 99%

“…In [4] a comparison of the backscattering from an object with a cross section of 30Â18 cm 2 in the 3.1 -10.6 GHz frequency band is presented. In this case the results of conventional ray tracing follow the measurement very well.…”

Section: Model Validationmentioning

confidence: 99%

“…Furthermore, the permittivity of the outer object needs to be known with suitable accuracy. The permittivity estimation is done by a UWB version of the microwave ellipsometry method described in [4].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Ray Tracing FDTD UWB-Model for Object Recognition

Janson¹,

Salman²,

Schultze³

et al. 2009

Frequenz

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-In this paper an approach for object recognition by the backscattered UWB signals is presented. This approach is a part of an UWB imaging and localization concept for emergency scenarios, where fire and smoke prevent using optical systems. The proposed recognition method is particulary useful to asses the intactness of the building construction elements. As such elements are usually composed of different materials, often including a metallic core, the recognition of inner structures is of great interest. For effective optimization and application of the recognition approach reference data sets are necessary. These reference data sets are obtained by a hybrid ray tracing/FDTD method, which allows for the simulation of small complex and inhomogenous objects in realsitc indoor scenarios.

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Section: Measurement Setup and Resultsmentioning

confidence: 99%

Section: Model Validationmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Ray Tracing FDTD UWB-Model for Object Recognition

Janson¹,

Salman²,

Schultze³

et al. 2009

Frequenz

Self Cite

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show abstract

“…As described in more detail in [1] the material characterization is based on a method known from optics, the ellipsometry, which has been adapted for the implementation with a UWB radar system. The basic idea of the ellipsometry method is to use the relation between the reflection coefficients of two orthogonal polarizations.…”

Section: Materials Characterizationmentioning

confidence: 99%

Performance Enhancement of UWB Material Characterization and Object Recognition for Security Robots

Salman

Schultze

Willms

2009

Journal of Electrical and Computer Engineering

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By means of UWB Radar sensors the tasks of material characterisation and object recognition can be performed on the basis of a previous imaging of the whole environment. A UWB version of the microwave ellipsometry method is applied for estimating the permittivity of homogenous objects. The object recognition task is performed using bistatic sensor nodes on the basis of Radar measurements. The simulation-based performance evaluations show a very robust behavior due to suitable preprocessing of Radar data. The applications comprise the detection of fire sources, the detection of metallic object hidden under clothing, and the recognition of building structures.

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“…To achieve that the surface of each object is scanned step-by-step using UWB antennas with very small opening angles. We have already proposed a recognition algorithm based on the moment invariant method [5] in [1] where the peak data or the reflections of 1 st order respectively is utilized. To enhance the robustness of the recognition algorithm and to enable a better performance with complex objects multiple reflections due to detailed structure of the object shape must be evaluated within the recognition algorithm.…”

Section: Introductionmentioning

confidence: 99%

Robust UWB Radar object recognition

Salman

Schultze

Janson³

et al. 2008

2008 IEEE International RF and Microwave Conference

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This paper focuses on an emergency situation in which a network of ultra-wide-band (UWB) sensor nodes mounted on moveable platforms is moving in a room for purposes of recognition of objects. The recognition is accomplished between 2D canonical objects, which are scanned by UWB Radar and a set of reference objects with same size which were analyzed by a ray-tracing method. The object recognition task is performed on the basis of RCS (radar cross section) measurements leading to corresponding radargram data. Here the objects characteristic geometric features are examined by using polar Fourier descriptors which are extended in a way that also provides for multiple reflections.

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UWB material characterisation and object recognition with applications in fire and security

Cited by 14 publications

References 6 publications

Hybrid Ray Tracing FDTD UWB-Model for Object Recognition

Hybrid Ray Tracing FDTD UWB-Model for Object Recognition

Performance Enhancement of UWB Material Characterization and Object Recognition for Security Robots

Robust UWB Radar object recognition

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