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Bio-inspired Vision-based Navigation Systems
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$a eng 102 $a CZ 200 1-
$a Bio-inspired Vision-based Navigation Systems $d Biológiou inšpirované obrazovo založené navigačné systémy $f Peter Trhan 320 $a Bibl.: s. 226 330 0-
$a 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 463 -1
$1 010 $a 987-80-7043-537-3 $1 200 1 $a Medzinárodná konferencia Applied Electronics 2007, Západočeská univerzita v Plzni, 5–6. 9. 2007 $v S. 223-226 $1 210 $a Plzeň $c Západočeská univerzita v Plzni $d 2007 606 $3 umb_un_auth*0133614 $a optický tok 606 $3 umb_un_auth*0134517 $a algoritmus interpolácie obrazu 606 $3 umb_un_auth*0134511 $a impulzné neurónové siete 606 0-
$3 umb_un_auth*0133621 $a optical flow 606 0-
$3 umb_un_auth*0134516 $a image interpolation algorithm 606 0-
$3 umb_un_auth*0134513 $a spiking neural network 615 $n 004.7 $a Počítačové siete 675 $a 004.032.26 700 -0
$3 umb_un_auth*0015040 $a Trhan $b Peter $f 1975- $p UMBFP01 $9 100 $4 070 $T Katedra geografie a geológie 801 $a SK $b BB301 $g AACR2 $9 unimarc sk T85 $x existuji fulltexy
Number of the records: 1