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    <title language="eng">From Vehicle Setup to Dataset Generation: A Holistic Approach to Long-Range Automated Valet Parking Development</title>
    <parentTitle language="deu">Uni-DAS: 15. Workshop Fahrerassistenz und automatisiertes Fahren (FAS 2023)</parentTitle>
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      <first_name>Amine</first_name>
      <last_name>Ben Arab</last_name>
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    <author>
      <first_name>Jing</first_name>
      <last_name>Gu</last_name>
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      <first_name>Hassan</first_name>
      <last_name>Mohammadi</last_name>
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      <first_name>Mia</first_name>
      <last_name>Book</last_name>
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      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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      <first_name>Alireza</first_name>
      <last_name>Ferdowsizadeh Naeeni</last_name>
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      <value>AVP</value>
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      <value>Sensors</value>
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      <value>Sensor-2-Sensor Calibration</value>
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      <value>Time Synchronization</value>
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      <language>eng</language>
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      <value>Reference systems</value>
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    <title language="deu">Relevanz von Bewegungsmodellen für Entwicklungen im Bereich des vorausschauenden Passiven Fußgängerschutzes</title>
    <parentTitle language="deu">14. VDI-Tagung Fahrzeugsicherheit, Fahrzeugsicherheit im Kontext neuer, nachhaltiger Mobilitätskonzepte</parentTitle>
    <subTitle language="deu">Schutz von verletzlichen Verkehrsteilnehmern</subTitle>
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      <first_name>Mia</first_name>
      <last_name>Book</last_name>
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    <editor>
      <last_name>VDI Wissensforum GmbH</last_name>
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    <author>
      <first_name>Robert</first_name>
      <last_name>Lugner</last_name>
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      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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    <completedYear>2016</completedYear>
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    <language>deu</language>
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    <pageNumber>IV, 39</pageNumber>
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    <title language="deu">High-Performance Funktionen und effiziente Testmethoden zur Steigerung der integralen Sicherheit [HiPe-FiS]</title>
    <subTitle language="deu">Abschlussbericht zum Projekt</subTitle>
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      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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      <value>Verkehrssicherheit Fußgänger</value>
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    <collection role="persons" number="26848">Brandmeier, Thomas</collection>
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    <id>575</id>
    <completedYear>2012</completedYear>
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    <pageNumber>34</pageNumber>
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    <title language="deu">CISS.S Seitencrash-Erkennung mit Körperschall</title>
    <abstract language="deu">Das Projekt CISS.S-Seitencrash-Erkennung mit Körperschall knüpfte an die Ergebnisse aus dem Vorgänger-projekt CISS an bzw. baute auf diesen auf. Im Projekt CISS wurde ein Verfahren für die Frontalcrash-Erkennung erforscht und zur Serienreife gebracht, das auf der Erfassung hochfrequenter Schwingungssignale basiert. Im Forschungsprojekt CISS.S sollten diese Erkenntnisse aus der Frontalcrash-Erkennung nun auf den Seitencrash übertragen werden, da dieser aufgrund der geringen Knautschzone verglichen mit anderen Lastfallgruppen besonders gefährlich ist.&#13;
Ziel von CISS.S war deshalb die frühzeitige Erkennung des Seitencrashs zur verbesserten Airbag-Auslösung mittels Körperschallmessung während eines Unfalls. Ein weiteres Projektziel war zudem die Weiterentwicklung eines Simulationsverfahrens für die Ausbreitung von Körperschall im Fahrzeug. Darüber hinaus war mit CISS.S auch die Bestrebung verbunden, einen Transfer der Forschungsergebnisse in Querschnittsbereiche wie die Produktions- oder die Medizintechnik zu realisieren.</abstract>
    <subTitle language="deu">Abschlussbericht</subTitle>
    <identifier type="urn">urn:nbn:de:bvb:573-5754</identifier>
    <licence>Urheberrechtsschutz</licence>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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      <language>deu</language>
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      <value>Fahrzeugsicherheit</value>
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    <subject>
      <language>deu</language>
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      <value>Körperschall</value>
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    <id>2140</id>
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    <language>deu</language>
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    <edition/>
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    <title language="deu">Richtungsweisende Forschungskonzepte an der Hochschule Ingolstadt</title>
    <parentTitle language="deu">Die Neue Hochschule</parentTitle>
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    <author>
      <first_name>Thomas</first_name>
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    <author>
      <first_name>Christian</first_name>
      <last_name>Facchi</last_name>
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    <author>
      <first_name>Anja</first_name>
      <last_name>Kucsera</last_name>
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    <author>
      <first_name>Christian</first_name>
      <last_name>Lauerer</last_name>
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    <author>
      <first_name>Georg</first_name>
      <last_name>Overbeck</last_name>
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    <edition/>
    <issue>136</issue>
    <volume>2019</volume>
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    <publisherPlace>Amsterdam</publisherPlace>
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    <title language="eng">Pedestrian recognition using micro Doppler effects of radar signals based on machine learning and multi-objective optimization</title>
    <parentTitle language="eng">Expert Systems with Applications</parentTitle>
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    <author>
      <first_name>João Victor</first_name>
      <last_name>Bruneti Severino</last_name>
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    <author>
      <first_name>Alessandro</first_name>
      <last_name>Zimmer</last_name>
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    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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    <author>
      <first_name>Roberto</first_name>
      <last_name>Zanetti Freire</last_name>
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    <subject>
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      <value>autonomous car</value>
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      <language>eng</language>
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      <value>radar</value>
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    <subject>
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      <language>eng</language>
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      <type>uncontrolled</type>
      <value>Support Vector Machine</value>
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    <issue>103</issue>
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    <title language="eng">Context-aware system for pre-triggering irreversible vehicle safety actuators</title>
    <parentTitle language="eng">Accident Analysis &amp; Prevention</parentTitle>
    <identifier type="issn">1879-2057</identifier>
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    <author>
      <first_name>Dennis</first_name>
      <last_name>Böhmländer</last_name>
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    <author>
      <first_name>Tobias</first_name>
      <last_name>Dirndorfer</last_name>
    </author>
    <author>
      <first_name>Ali H.</first_name>
      <last_name>Al-Bayatti</last_name>
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    <author>
      <first_name>Thomas</first_name>
      <last_name>Brandmeier</last_name>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Context-aware system</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Driver behavior</value>
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    <subject>
      <language>eng</language>
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      <value>Crash severity estimation</value>
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    <subject>
      <language>eng</language>
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      <value>Collision mitigation</value>
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    <subject>
      <language>eng</language>
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      <value>Pre-triggering</value>
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    <subject>
      <language>eng</language>
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      <value>Vehicle safety</value>
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    <completedDate>2026-02-10</completedDate>
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    <title language="eng">Video Camera and Capacitive Sensor Data Fusion for Pedestrian Protection Systems</title>
    <parentTitle language="eng">Proceedings of the Eleventh International Workshop on Intelligent Solutions in Embedded Systems</parentTitle>
    <identifier type="url">https://ieeexplore.ieee.org/document/6664948</identifier>
    <identifier type="isbn">978-3-00-042899-9</identifier>
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    <author>
      <first_name>Dennis</first_name>
      <last_name>Böhmländer</last_name>
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    <editor>
      <first_name>Markus</first_name>
      <last_name>Kucera</last_name>
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    <author>
      <first_name>Igor</first_name>
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    <editor>
      <first_name>Thomas</first_name>
      <last_name>Waas</last_name>
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    <author>
      <first_name>Eva</first_name>
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    <title language="eng">Advantages in Crash Severity Prediction Using Vehicle to Vehicle Communication</title>
    <parentTitle language="eng">Proceedings: 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops</parentTitle>
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