LEADER 00679nam0-22002651i-450- 001 990003565680403321 005 20001010 035 $a000356568 035 $aFED01000356568 035 $a(Aleph)000356568FED01 035 $a000356568 100 $a20000920d1784----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aOpuscoli vari$fM. Delfico 210 $aTeramo$cs.e.$d1784 700 1$aDelfico,$bMelchiorre$f<1744-1835>$04559 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003565680403321 952 $aSE 051.03.10-$b024854$fDECSE 959 $aDECSE 996 $aOpuscoli vari$9493548 997 $aUNINA DB $aING01 LEADER 01679nam 2200433z- 450 001 9910346767703321 005 20210211 010 $a1000058693 035 $a(CKB)4920000000100846 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40115 035 $a(oapen)doab40115 035 $a(EXLCZ)994920000000100846 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdaptive State 210 $cKIT Scientific Publishing$d2016 215 $a1 online resource (XXV, 241 p. p.) 225 1 $aKarlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe 311 08$a9783731505808 311 08$a3731505800 330 $aMobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state 610 $aautonomes Fahren 610 $aautonomous driving 610 $aBewegungsplanung 610 $aHindernisvermeidungMobile robots 610 $aMobile Roboter 610 $amotion planning 610 $aobstacle avoidance 610 $apath planning 610 $aPfadplanung 700 $aPetereit$b Janko$4auth$01328722 906 $aBOOK 912 $a9910346767703321 996 $aAdaptive State$93038869 997 $aUNINA