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

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      <subfield code="a">An, Qing </subfield>
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      <subfield code="a">Research on high precision positioning of beidou / inertial compact unit for automatic driving </subfield>
      <subfield code="c">Qing An, Xijiang Chen, Jupu Yuan</subfield>
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      <subfield code="a">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.</subfield>
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      <subfield code="a">Conducción automovilística</subfield>
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      <subfield code="0">MAPA20150019967</subfield>
      <subfield code="a">Vehículos autónomos</subfield>
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      <subfield code="0">MAPA20080611200</subfield>
      <subfield code="a">Inteligencia artificial</subfield>
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      <subfield code="0">MAPA20090014190</subfield>
      <subfield code="a">Movilidad urbana</subfield>
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      <subfield code="0">MAPA20200022183</subfield>
      <subfield code="a">Chen, Xijiang</subfield>
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      <subfield code="a">Yuan, Jupu </subfield>
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      <subfield code="t">Revista Iberoamericana de Inteligencia Artificial</subfield>
      <subfield code="d">IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-</subfield>
      <subfield code="x">1988-3064</subfield>
      <subfield code="g">01/06/2020 Volumen 23 Número 65 - junio 2020 , p. 115-123</subfield>
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