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IEEE International Conference on Robotics and Automation (ICRA) 2013 - Lernfähige 3D-Objekterkennung für Serviceroboter

Autor

Jan Fischer

Herausgeber

Axel Fischer

Beteiligtes Institut

KIT-Bibliothek (BIB)

Genre

Veranstaltung

Beschreibung

Für die autonome Ausführung von Handhabungsaufgaben in veränderlichen Alltagsumgebungen muss ein Serviceroboter in der Lage sein, Objekte zu erkennen und deren genaue Lage in 3D (Position und Orientierung) zu berechnen. Das Fraunhofer IPA hat eine vielseitige und flexibel einsetzbare Softwarebibliothek zum automatischen Einlernen und Erkennen von Alltagsgegenständen entwickelt.

Laufzeit (hh:mm:ss)

00:06:01

Serie

IEEE International Conference on Robotics and Automation (ICRA) 2013

Publiziert am

31.01.2014

Fachgebiet

Allgemeines, Hochschulwesen, Wissenschaft und Forschung

Lizenz

KITopen-Lizenz

Auflösung 1280 x 720 Pixel
Seitenverhältnis 16:9
Audiobitrate 110130 bps
Audio Kanäle 2
Audio Codec aac
Audio Abtastrate 48000 Hz
Gesamtbitrate 916572 bps
Farbraum yuv420p
Container mov,mp4,m4a,3gp,3g2,mj2
Medientyp video/mp4
Dauer 361 s
Dateiname 2014-112_hd.mp4
Dateigröße 4.096 byte
Bildwiederholfrequenz 25
Videobitrate 800349 bps
Video Codec h264

Embed-Code

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