Tag Archives: DFKI

Master thesis

The final piece of my Master in Computer Science is the thesis “Monocular SLAM for Context-Aware Workflow Assistance”. The abstract is included below:

In this thesis, we propose the integration of contextual workflow knowledge into a
SLAM tracking system for the purpose of procedural assistance using Augmented Reality.
Augmented Reality is an intuitive way for presenting workflow knowledge (e.g. main-
tenance or repairing) step by step but requires sophisticated models of the scene appear-
ance, the actions to perform and the spatial structure. For the latter one we propose the
integration with SLAM (Simultaneous Localization And Mapping) operating on images of
a monocular camera.
We first develop a stand-alone SLAM system with a point cloud as map representation
which is continuously extended and refined by triangulations obtained from new view
points using a three-step keyframe insertion procedure. In a second step, we integrate
contextual knowledge which is automatically obtained from reference recordings in a so-
called offline mapping step. This allows the tracking not only to cope with but actively
adapt to changes in the environment by explicitly including them in the tracking model.
To aid the data acquisition and to merge multiple tracking models into a single one, we
propose a novel method for combining offline acquired maps which is independent of the
spatial structure as opposed to ICP (Iterative Closest Point).
We show typical tracking results and evaluate the single components of our system by
measuring their performance when exposed to noise.

I wrote my thesis in Prof. Stricker’s Augmented Vision group and was supervised by Nils Petersen.

Master Thesis

author = {Hasper, Philipp},
school = {TU Kaiserslautern},
title = {{Monocular SLAM for Context-Aware Workflow Assistance}},
type = {Masterthesis},
year = {2014}

See you at the CeBIT 2014

As last year, I will be an exhibitor at this year’s CeBIT taking place March 10-14 in Hannover. We will present the awesome AR-Handbook at Hall 9, Booth D44.

Our topic is Fast MRO (Fast Maintenance, Repair and Overhaul) – a comprehensive Augmented Reality Maintenance Information System that shows and explains technical details for simplified maintenance work right where it is needed. Using a John Deere tractor as an example, Fast MRO offers support for the exchange of defective consumables or the maintenance of lubrication parts. The system offers information about the position of machine elements, maintenance intervals or the use of certain components and guides the repairman step by step through the individual work instructions.

Remote Execution vs. Simplification for Mobile Real-time Computer Vision

As part of my work at the DFKI Kaiserslautern, I published a paper at VISAPP 2014 dealing with Remote Execution for mobile Augmented Reality:

Remote Execution vs. Simplification for Mobile Real-time Computer Vision. Philipp Hasper, Nils Petersen, Didier Stricker. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISAPP) 2014. doi:10.5220/0004683801560161.

Mobile implementations of computationally complex algorithms are often prohibitive due to performance constraints. There are two possible solutions for this: (1) adopting a faster but less powerful approach which results in a loss of accuracy or robustness. (2) using remote data processing which suffers from limited bandwidth and communication latencies and is difficult to implement in real-time interactive applications. Using the example of a mobile Augmented Reality application, we investigate those two approaches and compare them in terms of performance. We examine different workload balances ranging from extensive remote execution to pure onboard processing.

author = {Hasper, Philipp and Petersen, Nils and Stricker, Didier},
booktitle = {Proceedings of the 9th International Conference on Computer Vision Theory and Applications},
doi = {10.5220/0004683801560161},
isbn = {978-989-758-003-1},
pages = {156--161},
publisher = {SCITEPRESS - Science and and Technology Publications},
title = {{Remote Execution vs. Simplification for Mobile Real-time Computer Vision}},
year = {2014}