LEADER 01804nam  2200421z- 450 
001 9910346947403321
005 20231214133115.0
010   $a1000090003
035   $a(CKB)4920000000101048
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/56494
035   $a(EXLCZ)994920000000101048
100   $a20202102d2019      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPolarimetric Radar for Automotive Applications
210   $cKIT Scientific Publishing$d2019
215   $a1 electronic resource (IX, 159 p. p.)
225 1 $aKarlsruher Forschungsberichte aus dem Institut für Hochfrequenztechnik und Elektronik
311   $a3-7315-0888-5 
330   $aCurrent automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets. However, for future applications like autonomous driving, such features are becoming ever increasingly important. On the basis of successful state-of-the-art applications, this work presents the first in-depth analysis and ground-breaking, novel results of polarimetric millimeter wave radars for automotive applications.
610   $aMachine-Learning
610   $aMillimeter-Wave Radar
610   $aAutomotive Radar
610   $aPolarimetric Radar
610   $aTarget Classification
610   $aPolarimetrie
610   $aMillimeterwellen-Radar
610   $aObjekterkennung
610   $aKI
610   $aAutomotive-Radar
700   $aVisentin$b Tristan$4auth$01292377
906   $aBOOK
912   $a9910346947403321
996   $aPolarimetric Radar for Automotive Applications$93022231
997   $aUNINA