Kompensation von sichteinschränkungen an flurförderzeugen

Lukas Jütte; Alexander Poschke; Ludger Overmeyer

doi:10.2195/lj_Proc_juette_de_202012_01

Kompensation von sichteinschränkungen an flurförderzeugen

Translated title of the contribution: Compensation of view restrictions on industrial trucks

Lukas Jütte
, Alexander Poschke
, Ludger Overmeyer

Institute of Transport and Automation Technology

Institut für integrierte Produktion Hannover (IPH)

Research output: Contribution to journal › Article › Research › peer review

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.

Translated title of the contribution	Compensation of view restrictions on industrial trucks
Original language	German
Pages (from-to)	1-8
Number of pages	8
Journal	Logistics Journal
Volume	2020
DOIs	https://doi.org/10.2195/lj_Proc_juette_de_202012_01
Publication status	Published - 2020

ASJC Scopus subject areas

Management Information Systems
Control and Systems Engineering
Management Science and Operations Research

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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",

journal = "Logistics Journal",

issn = "1860-7977",

publisher = "Wissenschaftliche Gesellschaft fur Technische Logistik",

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TY - JOUR

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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 - https://www.scopus.com/pages/publications/85103861823

U2 - 10.2195/lj_Proc_juette_de_202012_01

DO - 10.2195/lj_Proc_juette_de_202012_01

M3 - Artikel

AN - SCOPUS:85103861823

SN - 1860-7977

VL - 2020

SP - 1

EP - 8

JO - Logistics Journal

JF - Logistics Journal

ER -

Kompensation von sichteinschränkungen an flurförderzeugen

Abstract

ASJC Scopus subject areas

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