Semi-Automatic Pallet Pick-up as an Advanced Driver Assistance System for Forklifts

Benjamin Molter, Johannes Fottner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper presents a novel advanced driver assistance system for human-operated forklifts in logistical scenarios. The system helps the operator to pick up wooden pallets by performing a collision-free insertion of the forks into the pallet. For this purpose, the assistance system takes over the steering function of the vehicle while it approaches the pallet. A 3D camera-based system is used to detect and localize the pallets while driving. For every localized pallet, a trajectory is calculated which has to fulfill certain conditions. These include an at least curvature continuous course and limiting vehicle parameters, such as a limited steering angle. Furthermore, the necessary user interface for the correct selection of the target pallet and the activation of the assistance function is presented. Finally, a technical method is described to realize the steering intervention on an existing forklift.

Original languageEnglish
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4464-4469
Number of pages6
ISBN (Electronic)9781538670248
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand
Duration: 27 Oct 201930 Oct 2019

Publication series

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Conference

Conference2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Country/TerritoryNew Zealand
CityAuckland
Period27/10/1930/10/19

Keywords

  • Advanced driver assistance system
  • Forklift
  • Object detection
  • Pallet pick-up
  • Trajectory calculation

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