Computer Graphics
TU Braunschweig

A Framework for Data-Driven Augmented Reality

A Framework for Data-Driven Augmented Reality

This paper presents a new framework to support the creation of augmented reality (AR) applications for educational purposes in physics or engineering lab courses. These applications aim to help students to develop a better understanding of the underlying physics of observed phenomena. For each desired experiment, an AR application is automatically generated from an approximate 3D model of the experimental setup and precomputed simulation data. The applications allow for a visual augmentation of the experiment, where the involved physical quantities like vector fields, particle beams or density fields can be visually overlaid on the real-world setup. Additionally, a parameter feedback module can be used to update the visualization of the physical quantities according to actual experimental parameters in real-time. The proposed framework was evaluated on three different experiments: a Teltron tube with Helmholtz coils, an electron-beam-deflection tube and a parallel plate capacitor.

Author(s):Georgia Albuquerque, Dörte Sonntag, Oliver Bodensiek, Manuel Behlen, Nils Wendorff, Marcus Magnor
Published:July 2019
Type:Article in conference proceedings
Book:Augmented Reality, Virtual Reality, and Computer Graphics (Springer)
Presented at:International Conference on Augmented Reality, Virtual Reality and Computer Graphics (AVR) 2019
Project(s): Teach AR 

  title = {A Framework for Data-Driven Augmented Reality},
  author = {Albuquerque, Georgia and Sonntag, D{\"o}rte and Bodensiek, Oliver and Behlen, Manuel and Wendorff, Nils and Magnor, Marcus},
  booktitle = {Augmented Reality, Virtual Reality, and Computer Graphics},
  organization = {Springer},
  isbn = {978-3-030-25999-0},
  doi = {10.1007/978-3-030-25999-0\_7},
  editor = {De Paolis, Lucio Tommaso and Bourdot, Patrick},
  address = {Cham},
  pages = {71--83},
  month = {Jul},
  year = {2019}