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Title Bio-inspired Vision-based Navigation Systems Par.title Biológiou inšpirované obrazovo založené navigačné systémy Author info Peter Trhan Author Trhan Peter 1975- (100%) UMBFP01 - Katedra geografie a geológie
Source document Medzinárodná konferencia Applied Electronics 2007, Západočeská univerzita v Plzni, 5–6. 9. 2007. S. 223-226. - Plzeň : Západočeská univerzita v Plzni, 2007 Note Bibl.: s. 226 Keywords optický tok algoritmus interpolácie obrazu impulzné neurónové siete optical flow image interpolation algorithm spiking neural network Language English Country Czech Republic systematics 004.032.26 Annotation The paper deals with navigation control of mobile robots. In particular it looks at two bio-inspired approaches which use image information and are thus suitable for low-power consumption systems in early object detection and obstacle avoidance. The first approach is based on the processing of optical flow gained from one-dimensional image through an easy-to-calculate algorithm. The other approach is evolutional and it uses an artificial neural network and genetic algorithm. The algorithm determines individuals of the population using its fitness function Public work category AFC No. of Archival Copy 7256 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ 
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Title The bio-inspired optical flow detector Par.title Biológiou inšpirovaný snímač optického toku Author info Peter Trhan, Matúš Mala, René Klaučo Author Trhan Peter 1975- (80%) UMBFP01 - Katedra geografie a geológie
Co-authors Mala Matúš (10%)
Klaučo René (10%)
Source document Informatics' 2007 : 9. ročník medzinárodnej konferencie, Bratislava, 21–22. 6. 2007. S. 77-80. - Bratislava : SSAKI, 2007 Note Bibl.: s. 80 Keywords optický tok algoritmus interpolácie obrazu jednorozmerné obrazy detekcia objektu optical flow image interpolation algorithm one-dimensional image object detection Language English Country Slovak Republic systematics 004 537.533.3 Annotation This paper deals with the problem of digital image processing and the method of optical flow detection. The optical flow contains information (spatial and temporal) which can be used for object detection in an environment as well as for navigation. The optical flow is defined through a vector field, the vectors of which represent speed at which the objects under detection move (environment texture). The described calculation method of optical flow and the proposed optical flow detector is inspired by biology, in particular by flying insects. The optical flow detector uses a simple algorithm and one-dimensional image detectors with low resolution. The proposed detector can be applied in low-energy systems for early object detection, obstacle avoidance and navigation, for example in autonomous ultra-light airplanes and slow-motion robots Public work category AFD No. of Archival Copy 7257 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ unrecognised