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<bibitem type="A">   <ARLID>0333897</ARLID> <utime>20240111140730.6</utime><mtime>20091218235959.9</mtime>         <title language="eng" primary="1">Vehicle attitude estimation with the aid of GPS/INS data</title>  <specification> <page_count>1 s.</page_count> <media_type>www</media_type> </specification>   <serial><title>Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making</title><part_num/><part_title/><page_num>18-18</page_num><publisher><place>Praha</place><name>ÚTIA AVČR v.v.i</name><year>2009</year></publisher><editor><name1>Janžura</name1><name2>M.</name2></editor><editor><name1>Ivánek</name1><name2>J.</name2></editor></serial>   <title language="cze" primary="0">Odhad polohy vozidla při využití dat z GPS/INS</title>    <keyword>vehicle attitude</keyword>   <keyword>state model</keyword>   <keyword>smoothing</keyword>   <keyword>Kalman filtering</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101175</ARLID> <name1>Pavelková</name1> <name2>Lenka</name2> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101167</ARLID> <name1>Nagy</name1> <name2>Ivan</name2> <institution>UTIA-B</institution> <full_dept>Department of Signal Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>pdf</source_type> <url>http://library.utia.cas.cz/separaty/2009/AS/pavelkova-vehicle attitude estimation with the aid of gps-ins data.pdf</url> </source>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">The attitude of a moving vehicle is determined by means of global  positioning system (GPS) but the data set is incomplete. We aim to estimate the attitude within the GPS data fallouts. For this purpose, we can use an information from the inertial navigation system (INS) that includes a complete noisy information about  vehicle velocity, yaw rate and acceleration. We focus on the off-line attitude estimation. We construct a state model describing the vehicle motion. It exploits a dependency among the vehicle attitude, velocity and acceleration. The estimation algorithm is based on the Kalman filtering and smoothing.</abstract> <abstract language="cze" primary="0">Poloha jedoucího vozidla je určována pomocí globálního polohového systému (GPS), ale tato data jsou nekompletní. Pro určení polohy během výpadku signálu z GPS máme k dispozici informaci z  inerciálního navigačního systému (INS), která obsahuje údaje o rychlosti a zrychlení vozidla a stáčivé rychlosti. Zaměřujeme se na off-line odhad. Stavový model popisující pohyb vozidla využívá  vztahů z kinematiky. Použitý odhadovací algoritmus je založen na Kalmanovské filtraci a vyhlazování.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0256640</ARLID> <name>5th International Workshop on Data-Algorithms-Decision Making</name>  <place>Plzeň</place> <dates>29.11.2009-01.12.2009</dates>  <country>CZ</country> </action>   <reportyear>2010</reportyear>  <RIV>BC</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122133854.0 </unknown>  <permalink>http://hdl.handle.net/11104/0178772</permalink>        <arlyear>2009</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0333897.pdf </unknown>    <unknown tag="mrcbU56"> pdf </unknown> <unknown tag="mrcbU63"> Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making 18 18 Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making Praha ÚTIA AVČR v.v.i 2009 </unknown> <unknown tag="mrcbU67"> Janžura M. 340 </unknown> <unknown tag="mrcbU67"> Ivánek J. 340 </unknown> </cas_special> </bibitem>