<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>32645</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>11</pageFirst>
    <pageLast>13</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Enhancement of the automatic 3D calibration for a multi-sensor system</title>
    <abstract language="eng">The calibration of the integrated sensors in a multisensor system has gained in interest over the last years. In this paper we introduce an enhanced calibration process, which is based on the preceding study described in. The enhancement consists of the integration of a gyroscope. So far only the accelerometer and the magnetic field sensor were taken into account for the calibration process. Due to this improvement we reach a better approximation of the accelerometer and the magnetic field sensor. Additionally, we minimize the standard&#13;
deviation of the single sensors and improve the accuracy of the positioning of a moving person.</abstract>
    <parentTitle language="eng">IPIN 2013 - 4th International conference on indoor positioning and indoor navigation</parentTitle>
    <identifier type="old">35717</identifier>
    <identifier type="isbn">978-1-4799-4043-1</identifier>
    <identifier type="url">http://ipin2013.sciencesconf.org/conference/ipin2013/eda_en.pdf</identifier>
    <enrichment key="eventName">IPIN 2013 - 4th International conference on indoor positioning and indoor navigation</enrichment>
    <enrichment key="eventPlace">Belfort-Montbéliard, France</enrichment>
    <enrichment key="eventStart">28.10.2013</enrichment>
    <enrichment key="eventEnd">31.10.2013</enrichment>
    <author>Enrico Köppe</author>
    <author>D. Augustin</author>
    <author>A. Liers</author>
    <author>J. Schiller</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor calibration and validation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Person tracking</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Inertial navigation system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Inertial measurement unit</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Embedded systems</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multi-sensor system</value>
    </subject>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>32428</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>93</pageFirst>
    <pageLast>96</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation>Institute of Electrical and Electronics Engineers (IEEE)</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Self-calibration-method for an inertial navigation system with three 3D sensors</title>
    <abstract language="eng">Inertial Navigation Systems with three 3D sensors are used to localize moving persons. The accuracy of the localization depends on the quality of the sensor data of the multi-sensor system. In order to improve the accuracy, a self-calibration process based on the automatic 3D calibration was developed. Based on the calibration procedure of the accelerometer (ACC) and the magnetic field sensor (MAG), the additional integration of the gyroscope (GYRO) leads to a reduction of the indoor positioning error. This improves both the approximation for the accelerometer and the magnetic field sensor so that the standard deviation of a single sensor is minimized. A new calibration procedure of the gyroscope and the accuracy improvement of the localization of a moving person are presented.</abstract>
    <parentTitle language="eng">ISISS 2014 - 1st IEEE  International Symposium on Inertial Sensors and Systems (Proceedings)</parentTitle>
    <identifier type="old">35494</identifier>
    <identifier type="isbn">978-1-4799-0915-5</identifier>
    <identifier type="doi">10.1109/ISISS.2014.6782522</identifier>
    <enrichment key="eventName">ISISS 2014 - 1st IEEE  International Symposium on Inertial Sensors and Systems</enrichment>
    <enrichment key="eventPlace">Laguna Beach, CA, USA</enrichment>
    <enrichment key="eventStart">25.02.2014</enrichment>
    <enrichment key="eventEnd">26.02.2014</enrichment>
    <enrichment key="date_peer_review">19.01.2015</enrichment>
    <author>Enrico Köppe</author>
    <author>D. Augustin</author>
    <author>A. Liers</author>
    <author>J. Schiller</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Global Positioning System</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Accelerometers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Calibration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gyroscopes</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Inertial navigation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Magnetic field measurement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Magnetic sensors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Sensor fusion</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ACC</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>GYRO</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>MAG</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Accelerometer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Automatic 3D calibration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gyroscope</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Indoor positioning error reduction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Inertial navigation system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Magnetic field sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Moving person localization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Multisensor system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Self-calibration-method</value>
    </subject>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>32430</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>105</pageFirst>
    <pageLast>117</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpartcollection</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Application of the inertial navigation system 3D-self-calibration-method for the minimization of the measurement uncertainty</title>
    <abstract language="eng">For the accuracy of inertial navigation systems for indoor localization it is important to get high quality sensor data of the multi-sensor system. This can be realized using high quality sensors or the developed 3D-self-calibration-method for low cost sensors. Based on the calibration procedure of the accelerometer (ACC) and the magnetic field sensor (MAG), the additional integration of the gyroscope (GYRO) leads to a reduction of the indoor positioning error. This improves both the approximation for the accelerometer, the magnetic field sensor and the gyroscope so that the standard deviation of a single sensor is minimized. There are errors in the whole system. To determine these error sources it is important to define the measurement uncertainty. In this paper it is presented that the measurement uncertainty can be reduced by the application of the developed 3D-self-calibration method.</abstract>
    <parentTitle language="eng">Progress in location - based services 2014</parentTitle>
    <identifier type="old">35496</identifier>
    <identifier type="isbn">978-3-319-11878-9</identifier>
    <identifier type="issn">1863-2246</identifier>
    <identifier type="doi">10.1007/978-3-319-11879-6_8</identifier>
    <note>Geburtsname von Köppe, Tabea: Wilk, T. -  Birth name of Köppe, Tabea: Wilk, T.</note>
    <note>Serientitel: Lecture Notes in Geoinformation and Cartography (LNG&amp;C) – Series title: Lecture Notes in Geoinformation and Cartography (LNG&amp;C)</note>
    <enrichment key="eventName">11th International Symposium on Location Based Services</enrichment>
    <enrichment key="eventPlace">Vienna, Austria</enrichment>
    <enrichment key="eventStart">26.11. 2014</enrichment>
    <enrichment key="eventEnd">28.11.2014</enrichment>
    <enrichment key="date_peer_review">13.09.2016</enrichment>
    <author>Enrico Köppe</author>
    <author>D. Augustin</author>
    <author>Tabea Köppe</author>
    <author>Andreas Subaric-Leitis</author>
    <author>A. Liers</author>
    <author>J. Schiller</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D calibration method</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Indoor localization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement uncertainty</value>
    </subject>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
</export-example>
