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Research on high precision positioning of beidou / inertial compact unit for automatic driving

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<rdf:Description>
<dc:creator>An, Qing </dc:creator>
<dc:creator>Chen, Xijiang</dc:creator>
<dc:creator>Yuan, Jupu </dc:creator>
<dc:date>2020-06-01</dc:date>
<dc:description xml:lang="es">Sumario: In order to meet the needs of high precision, high availability and high safety positioning for automatic driving, aiming at the technical difficulties of automatic driving positioning in the complex urban environment, an inertial navigation model suitable for the dynamic characteristics of vehicles is established. A tight combination method of Beidou/Inertial high precision positioning is also proposed, which can solve the problem of rapid accumulation of positioning errors in the weak signal environment of Beidou. The results show that when the Beidou signal is completely interrupted and the inertial navigation is combined tightly, the positioning accuracy and continuity are improved significantly, and the maximum error is less than 0.5m. As a result, it can realize the high-precision continuous navigation and positioning of automatic driving in the complex urban environment.</dc:description>
<dc:format xml:lang="en">application/pdf</dc:format>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/173646.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Conducción automovilística</dc:subject>
<dc:subject xml:lang="es">Vehículos autónomos</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Movilidad urbana</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Research on high precision positioning of beidou / inertial compact unit for automatic driving </dc:title>
<dc:relation xml:lang="es">En: Revista Iberoamericana de Inteligencia Artificial. - IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 01/06/2020 Volumen 23 Número 65 - junio 2020 , p. 115-123</dc:relation>
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