The project SensAR visualizes sensor data in industrial environments via augmented reality (AR) applications. The research focuses on generalized industrial processes with selected use cases as a basis. Its aim is to support workers using sensor data and digitized assistance systems. The user stories are defined in cooperation with industrial partners.
The goal of the project is to develop sample applications for augmenting the real world with meaningful, context-sensitive information based on retrieved sensor data. The main focus currently lies in supporting three different use cases; facility management, classification and modelling of industrial objects, indoor navigation. The project is a holistic approach that combines research areas such as dynamic object recognition, positioning, sensor technology and standards, UI and data security.
Parts of the project:
Using three example scenarios, possibilities for augmented reality applications will be presented:
Based on the use cases various challenges are tackled in an integrated process. The aim is to give small and medium-sized enterprises easier access to the technology field of augmented reality. By focusing on industry 4.0, SensAR will be, in addition to the i_city project, well integrated into the transfer activities of M4_LAB.
|Management||Prof. Dr Volker Coors, Prof. Dr Eberhard Gülch, Prof. Dr Stefan Knauth, Prof. Dr Gero Lückemeyer, Prof. Dr Franz-Josef Schneider, Prof. Dr Jan Seedorf, Prof. Dr Dieter Uckelmann, Prof. Dr Ursula Voß|
|Partner||Daimler Truck AG, Leuze electronic GmbH + Co KG, Softvise GmbH|
|Funding||Carl Zeiss Foundation|
|Call for proposal||Digitalisierung: Grundlagen erforschen – Anwendungen nutzen|
|Duration||01.04.2019 - 31.03.2022, extended until 30.09.2022|
|Name and position||Field||Email and phone||Room|
|Computer Science and Geodesy||7/030|
|Photogrammetry and Geoinformatics||2/208|
|Faculty for Computer Sciences, Geomatics and Mathematic||2/546|
|Faculty of Geomatics, Computer Science and Mathematics||2/145|