Open AccessPerformance Enhancement of UWB Material Characterization and Object Recognition for Security Robots
Author(s) -
Rahmi Salman,
Thorsten Schultze,
Ingolf Willms
Publication year - 2009
Publication title -
journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 25
eISSN - 2090-0155
pISSN - 2090-0147
DOI - 10.1155/2010/314695
Subject(s) - computer science , radar , artificial intelligence , preprocessor , cognitive neuroscience of visual object recognition , computer vision , object detection , basis (linear algebra) , object (grammar) , pattern recognition (psychology) , telecommunications , geometry , mathematics
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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