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Kamerabasierte Fußgängerdetektion

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Handbuch Fahrerassistenzsysteme

Part of the book series: ATZ/MTZ-Fachbuch ((ATZMTZ))

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Zusammenfassung

Die Detektion oder Erkennung von Fußgängern im Straßenverkehr ist eines der wichtigsten, zugleich aber auch eines der schwierigsten Probleme der Sensorverarbeitung. Um dem Fahrer optimale Assistenz leisten zu können, sind idealerweise alle Fußgänger unabhängig von Sichtverhältnissen robust zu erkennen. Dies wird jedoch durch verschiedenste Umweltfaktoren erschwert. Problematisch sind insbesondere wechselnde Wetter- und Sichtverhältnisse, schwierige Beleuchtungssituationen und Straßenverhältnisse. Des Weiteren erschweren individuelle Kleidung und die Verdeckung von Fußgängern beispielsweise durch parkende Autos die Detektionsaufgabe. Weiterhin zeichnen sich Fußgänger im Vergleich zu vielen anderen Objekten in Straßenverkehrsszenen durch einen hohen Grad an Artikulation aus, die insbesondere die Anwendung umrissbasierter Verfahren erschwert.

Grundsätzlich lassen sich zwei Typen von Erkennungsaufgaben abhängig vom eingesetzten Sensortyp unterscheiden:

  • videobildbasierte Verfahren – für den Tag,

  • infrarotkamerabasierte Verfahren – für die Nacht.

Während sich die Sensoren durch das aufgenommene Lichtspektrum unterscheiden, haben sich in der Praxis jedoch ähnliche grundsätzliche Verfahren für die Bearbeitung bewährt.

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Author information

Authors and Affiliations

  1. Multimodale Interactive Systeme, Max-Planck-Institut für Informatik, Darmstadt, Deutschland

    Bernt Schiele Prof. Dr. & Christian Wojek Dr.-Ing.

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  1. Bernt Schiele Prof. Dr.
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  2. Christian Wojek Dr.-Ing.
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Editor information

Editors and Affiliations

  1. Technische Universität Darmstadt, Darmstadt, Germany

    Hermann Winner

  2. IPG Automotive GmbH, Karlsruhe, Germany

    Stephan Hakuli

  3. Technische Universität Darmstadt, Darmstadt, Germany

    Felix Lotz

  4. Technische Universität Darmstadt, Darmstadt, Germany

    Christina Singer

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Schiele, B., Wojek, C. (2015). Kamerabasierte Fußgängerdetektion. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbuch Fahrerassistenzsysteme. ATZ/MTZ-Fachbuch. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-05734-3_23

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