Details
| 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 |
| Publication status | Published - 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.
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Engineering(all)
- Control and Systems Engineering
- Decision Sciences(all)
- Management Science and Operations Research
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In: Logistics Journal, Vol. 2020, 2020, p. 1-8.
Research output: Contribution to journal › Article › Research › peer review
}
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 -