LEADER 01822nam  2200397z- 450 
001 9910346887803321
005 20210211
010   $a1000032359
035   $a(CKB)4920000000101644
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/50498
035   $a(oapen)doab50498
035   $a(EXLCZ)994920000000101644
100   $a20202102d2013      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aInterlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors
210   $cKIT Scientific Publishing$d2013
215   $a1 online resource (XVIII, 128 p. p.)
225 1 $aSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
311 08$a3-86644-977-1 
330   $aThis work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects.
606   $aTechnology: general issues$2bicssc
610   $alaser scanner
610   $amapping
610   $aobject detection
610   $aself-localization
610   $atracking
615  7$aTechnology: general issues
700   $aMoosmann$b Frank$4auth$01327805
906   $aBOOK
912   $a9910346887803321
996   $aInterlacing Self-Localization, Moving Object Tracking and Mapping for 3D Range Sensors$93038121
997   $aUNINA