CAD2DWI
In this Flanders Make project we developped an application in Unity that allows a process engineer to easily generate work instructions for a CAD file to assist an operator during assembly.
Posts by Collection
portfolio
FAMAR
The overall project goal is to create an economically feasible user-centred Augmented Reality application methodology for flexible assembly and inspection operations in a low volume/high mix manufacturing environment. I worked on object and keypoint detection algorithms to facilitate state tracking. 
OmniDrone
This was an FWO project that explored the many applications of wide angle cameras on Drones. I worked on using vision algorithms to automatically direct wide angle video streams. 
PROROB
The overall goal of the project is to create an intuitive, easy to use, and fast robot programming environment, based on VR (Virtual Reality), AR (Augmented Reality), MR (Mixed Reality), or their combination that will serve fast and accurate programming of industrial robots in a flexible manufacturing plant for low volume and high variability production. 
publications
Semi-automatic extraction of digital work instructions from CAD models
Published in CIRP Conference of Assembly Technology and Systems, 2020
This paper presents a method for semi-automatically generating work instructions from CAD files using visibility calculations.
Download here
Image-based state tracking in Augmented Reality supported assembly operations
Published in CIRP Conference on Manufacturing Systems, 2021
This paper presents a vision based system for detecting the progress of an operator in an assembly process.
Download here
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
Published in ROBOVIS: International Conference on Robotics, Computer Vision and Intelligent Systems, 2021
This paper contains research on the problem of 2D tool keypoint detection using synthetic data.
Download here
Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System
Published in CVMP: European Conference on Visual Media Production, 2021
This paper presents a system for automatically directing multiple wide-angle video streams.
Download here
(accepted) Analysis of Training Object Detection Models with Synthetic Data
Published in BMVC: British Machine Vision Conference, 2022
In this paper we research the impact of different visual variations in synthetic training data on the generalisation of object detection models.
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Bachelor Theses
Thesis Supervision, Hasselt University, 2019
I have supervised students’ bachelor theses on the following subjects:
- Video Super-Resolution using Machine Learning
- Distracted Driver Detection using Machine Learning
- Video Object Detection and Tracking
- Construction of Artificial Face Masks for Deep Learning
- Reinforcement Learning in Gaming
Master Theses
Thesis Supervision, Hasselt University, 2019
I have supervised students’ master theses on the following subjects:
- Segmenting Anomalies in X-Ray Images of Horse Joints using Machine Learning
Object Oriented Programming
Undergraduate course, Hasselt University, 2019
Teaching assistant for this undergraduate course on Object Oriented Programming in C++.
Problem Solving
Undergraduate Course, Hasselt University, 2019
Teaching assistant for this undergraduate course on Problelm Solving. I am still active for this course.
Computer Graphics
Undergraduate Course, Hasselt University, 2020
Teaching assistant for this undergraduate course on Computer Graphics using C++ and OpenGL. I am still active for this course.