FiFi – Robustness of Person Detection for Gesture Controlled Vehicles in Intralogistics

Authors

  • Andreas Trenkle Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)
  • Jördis Rappl Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)
  • Malte Grebe Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)
  • Kai Furmans Institut für Fördertechnik und Logistiksysteme (IFL), Karlsruher Institut für Technologie (KIT)

DOI:

https://doi.org/10.2195/lj_Proc_trenkle_de_201411_01

Keywords:

FTF, Gestensteuerung, Kinect, Fehlerkennung, Personenverfolgung

Abstract

The Automated Guided Vehicle (AGV) “FiFi” is controlled by recognition of gestures and persons based on 3D data of the environment. The algorithms of person recognition lead to false detection of persons in some cases. The paper describes error causes and presents some solutions. Experiments confirm that the developed method increases the robustness of the system.

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Published

2014-12-05

How to Cite

Trenkle, A., Rappl, J., Grebe, M., & Furmans, K. (2014). FiFi – Robustness of Person Detection for Gesture Controlled Vehicles in Intralogistics. Logistics Journal: Proceedings, (10). https://doi.org/10.2195/lj_Proc_trenkle_de_201411_01

Issue

No. 10 (2014): Logistics Journal: Proceedings

Section

Artikel

License

Copyright (c) 2011 Andreas Trenkle, Jördis Rappl, Malte Grebe, Kai Furmans