“Staplerauge”: A Framework for Camera-Based Sensor Functions on Forklift Trucks

Matthias Jung, Frank Hohenstein, Willibald Günthner

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

Computer vision seems a promising method for realizing the most important sensor tasks on a forklift with just one technology, hence significantly reducing integration costs on the forklift and with the IT-system in the background. This approach is highly flexible and easy to retrofit - additional features can be integrated by adding/changing software components. However suppliers of those sensor solutions, which are currently available, are mostly small or medium enterprises (SME) with little or no know-how in the field of computer vision. We have developed a software framework to enable and assist these companies with the design of such systems for logistics transport systems.

Original languageEnglish
Title of host publicationLecture Notes in Logistics
PublisherSpringer Science and Business Media B.V.
Pages77-88
Number of pages12
DOIs
StatePublished - 2014

Publication series

NameLecture Notes in Logistics
ISSN (Print)2194-8917
ISSN (Electronic)2194-8925

Keywords

  • Barcode reading
  • Computer vision
  • Fork allocation
  • Fork height
  • Forklift trucks
  • Functional integration
  • Localization
  • Sensor functions
  • Software framework

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