Kompensation von sichteinschränkungen an flurförderzeugen

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Lukas Jütte
  • Alexander Poschke
  • Ludger Overmeyer

Externe Organisationen

  • Institut für integrierte Produktion Hannover (IPH) gGmbH
Forschungs-netzwerk anzeigen

Details

Titel in ÜbersetzungCompensation of view restrictions on industrial trucks
OriginalspracheDeutsch
Seiten (von - bis)1-8
Seitenumfang8
FachzeitschriftLogistics Journal
Jahrgang2020
PublikationsstatusVeröffentlicht - 2020

Abstract

In this article, a method for automatic visual obstruction detection and mask-type congruent visual obstruction compensation, based on the principal of augmented reality, is presented. The method is based on the superposition of a simulated operator’s field of view with information from a scene reconstructed by two RGB-Cameras. These cameras are arranged in a way that they can record the scene information behind the view restriction. Besides the presentation of the test rig, a detailed presentation of the image processing software is given. With a view to the later use of the system in a forklift truck, the real-time capability of the system will be tested and optimization possibilities will be discussed.

Schlagwörter

    Augmented reality, Driver assistance system, Forklift trucks, Image processing, Obstacle detection

ASJC Scopus Sachgebiete

Zitieren

Kompensation von sichteinschränkungen an flurförderzeugen. / Jütte, Lukas; Poschke, Alexander; Overmeyer, Ludger.
in: Logistics Journal, Jahrgang 2020, 2020, S. 1-8.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Jütte, L, Poschke, A & Overmeyer, L 2020, 'Kompensation von sichteinschränkungen an flurförderzeugen', Logistics Journal, Jg. 2020, S. 1-8. https://doi.org/10.2195/lj_Proc_juette_de_202012_01
Jütte, L., Poschke, A., & Overmeyer, L. (2020). Kompensation von sichteinschränkungen an flurförderzeugen. Logistics Journal, 2020, 1-8. https://doi.org/10.2195/lj_Proc_juette_de_202012_01
Jütte L, Poschke A, Overmeyer L. Kompensation von sichteinschränkungen an flurförderzeugen. Logistics Journal. 2020;2020:1-8. doi: 10.2195/lj_Proc_juette_de_202012_01
Jütte, Lukas ; Poschke, Alexander ; Overmeyer, Ludger. / Kompensation von sichteinschränkungen an flurförderzeugen. in: Logistics Journal. 2020 ; Jahrgang 2020. S. 1-8.
Download
@article{aa3a7786009c4de9a7fd9739d9853f76,
title = "Kompensation von sichteinschr{\"a}nkungen an flurf{\"o}rderzeugen",
abstract = "In this article, a method for automatic visual obstruction detection and mask-type congruent visual obstruction compensation, based on the principal of augmented reality, is presented. The method is based on the superposition of a simulated operator{\textquoteright}s field of view with information from a scene reconstructed by two RGB-Cameras. These cameras are arranged in a way that they can record the scene information behind the view restriction. Besides the presentation of the test rig, a detailed presentation of the image processing software is given. With a view to the later use of the system in a forklift truck, the real-time capability of the system will be tested and optimization possibilities will be discussed.",
keywords = "Augmented reality, Driver assistance system, Forklift trucks, Image processing, Obstacle detection",
author = "Lukas J{\"u}tte and Alexander Poschke and Ludger Overmeyer",
note = "Funding Information: Diese Ver{\"o}ffentlichung wurde im Rahmen des IGF- Vorhabens 20158 N „Virtuelle Sichtverbesserung und intuitive Interaktion durch Erweiterte Realit{\"a}t an Flurf{\"o}rderzeugen (ViSIER)“ der Forschungsgemeinschaft Intralogistik/ F{\"o}rdertechnik und Logistiksysteme (IFL) e. V. {\"u}ber die Arbeitsgemeinschaft industrieller Forschungsvereinigungen „Otto von Guericke“ e. V. (AiF) im Rahmen des Programms zur F{\"o}rderung der Industriellen Gemeinschaftsforschung (IGF) vom Bundesministerium f{\"u}r Wirtschaft und Energie (BMWi) aufgrund eines Beschlusses des Deutschen Bundestages gef{\"o}rdert.",
year = "2020",
doi = "10.2195/lj_Proc_juette_de_202012_01",
language = "Deutsch",
volume = "2020",
pages = "1--8",

}

Download

TY - JOUR

T1 - Kompensation von sichteinschränkungen an flurförderzeugen

AU - Jütte, Lukas

AU - Poschke, Alexander

AU - Overmeyer, Ludger

N1 - Funding Information: Diese Veröffentlichung wurde im Rahmen des IGF- Vorhabens 20158 N „Virtuelle Sichtverbesserung und intuitive Interaktion durch Erweiterte Realität an Flurförderzeugen (ViSIER)“ der Forschungsgemeinschaft Intralogistik/ Fördertechnik und Logistiksysteme (IFL) e. V. über die Arbeitsgemeinschaft industrieller Forschungsvereinigungen „Otto von Guericke“ e. V. (AiF) im Rahmen des Programms zur Förderung der Industriellen Gemeinschaftsforschung (IGF) vom Bundesministerium für Wirtschaft und Energie (BMWi) aufgrund eines Beschlusses des Deutschen Bundestages gefördert.

PY - 2020

Y1 - 2020

N2 - In this article, a method for automatic visual obstruction detection and mask-type congruent visual obstruction compensation, based on the principal of augmented reality, is presented. The method is based on the superposition of a simulated operator’s field of view with information from a scene reconstructed by two RGB-Cameras. These cameras are arranged in a way that they can record the scene information behind the view restriction. Besides the presentation of the test rig, a detailed presentation of the image processing software is given. With a view to the later use of the system in a forklift truck, the real-time capability of the system will be tested and optimization possibilities will be discussed.

AB - In this article, a method for automatic visual obstruction detection and mask-type congruent visual obstruction compensation, based on the principal of augmented reality, is presented. The method is based on the superposition of a simulated operator’s field of view with information from a scene reconstructed by two RGB-Cameras. These cameras are arranged in a way that they can record the scene information behind the view restriction. Besides the presentation of the test rig, a detailed presentation of the image processing software is given. With a view to the later use of the system in a forklift truck, the real-time capability of the system will be tested and optimization possibilities will be discussed.

KW - Augmented reality

KW - Driver assistance system

KW - Forklift trucks

KW - Image processing

KW - Obstacle detection

UR - http://www.scopus.com/inward/record.url?scp=85103861823&partnerID=8YFLogxK

U2 - 10.2195/lj_Proc_juette_de_202012_01

DO - 10.2195/lj_Proc_juette_de_202012_01

M3 - Artikel

AN - SCOPUS:85103861823

VL - 2020

SP - 1

EP - 8

JO - Logistics Journal

JF - Logistics Journal

SN - 1860-7977

ER -