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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ICA-Proc</journal-id>
<journal-title-group>
<journal-title>Proceedings of the ICA</journal-title>
<abbrev-journal-title abbrev-type="publisher">ICA-Proc</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Proc. Int. Cartogr. Assoc.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2570-2092</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/ica-proc-7-23-2025</article-id>
<title-group>
<article-title>Development of an adaptive TDCP and RTK/INS tightly coupled navigation system for autonomous vehicles</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Guo</surname>
<given-names>Shuai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Hongzhou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gao</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geomatic Engineering, University of Calgary, Calgary, Canada</addr-line>
</aff>
<pub-date pub-type="epub">
<day>17</day>
<month>11</month>
<year>2025</year>
</pub-date>
<volume>7</volume>
<elocation-id>23</elocation-id>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Shuai Guo et al.</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://ica-proc.copernicus.org/articles/7/23/2025/ica-proc-7-23-2025.html">This article is available from https://ica-proc.copernicus.org/articles/7/23/2025/ica-proc-7-23-2025.html</self-uri>
<self-uri xlink:href="https://ica-proc.copernicus.org/articles/7/23/2025/ica-proc-7-23-2025.pdf">The full text article is available as a PDF file from https://ica-proc.copernicus.org/articles/7/23/2025/ica-proc-7-23-2025.pdf</self-uri>
<abstract>
<p>Autonomous vehicle technologies are useful for unmanned ground vehicles, mobile robotics, micro-air vehicles, and logistics which become one of the key research points in recent years. Real-Time Kinematic/Inertial Navigation System (RTK/INS) tightly coupled systems are widely used in navigation systems. They use complementary information of Global Navigation Satellite System (GNSS) and INS to provide continuous and robust positioning and navigation solutions in various application scenarios. In this paper, we extend time-differenced carrier phase (TDCP) in RTK/INS tightly coupled algorithm to achieve low-power consumption navigation system, which can aid autonomous vehicles getting high accuracy position. In conventional RTK/INS tightly coupled systems, the pseudorange, Doppler, and carrier phase of GNSS are used to integrate with INS complementarily, which has high power consumption. Because the sampling rate of Inertial Measurement Unit (IMU) is usually around hundreds of hertz and the RTK/INS tightly coupled algorithm is complicated. Unlike conventional RTK/INS tightly coupled system, this system adaptively utilizes TDCP positioning module to work independently at lower sample rates and simple structure getting high-precision position in some good condition like open-sky. RTK/INS tightly coupled module will stop work at this time to save power consumption and computation. In addition, considering the positioning error of TDCP will drifting, this system will adaptively use RTK/INS tightly coupled module to correct the drifting error of TDCP periodically to help system maintain high-precision navigation continuously. Experimental results show the positioning error of TDCP remained within relatively acceptable bounds for general navigation scenarios despite the drift. The maximum errors over 30 minutes in east, north, and up direction are around 0.333 m, &amp;minus;0.446 m, and 3.598 m, respectively. Besides, RMS significantly decreases with calibration by RTK/INS tightly coupled system compared to cases without calibration, which demonstrates the effectiveness of periodic correction in mitigating cumulative drift for TDCP.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
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