Publications in Scientific Journals:
P. Rupprecht, H. Kueffner-McCauley, M. Trimmel, S. Schlund:
"Adaptive Spatial Augmented Reality for Industrial Site Assembly";
Procedia CIRP,
104
(2021),
405
- 410.
English abstract:
Today, industrial assembly of large components is mostly organized as site assembly. The human-centered information provisioning for assembly tasks still bears significant optimization potential. The paper presents first results of the integration of a dynamic projection system with visual human position and gesture recognition. Work instructions and other relevant information is displayed relative to the humans´ position within a large workspace. A high-resolution RGB-camera as well as the real-time object recognition algorithm YOLOv3, have been integrated into a proof-of-concept demonstrator. An evaluation at the TU Wien Pilot Factory shows the potential in terms of efficiency, usability, and cognitive workload.
Keywords:
Adaptive Spatial Augmented Reality; real-time object recognition; industrial site assembly
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.procir.2021.11.068
Created from the Publication Database of the Vienna University of Technology.