70 citations
- KU LeuvenBE6 papers
- University of AntwerpBE5 papers
- Ghent UniversityBE4 papers
- Core Laboratories (United States)US1 paper
- Data:Lab Munich (Germany)DE1 paper
- Ericsson (Sweden)SE1 paper
- Hasselt UniversityBE1 paper
- Province of AntwerpBE1 paper
- RWTH Aachen UniversityDE1 paper
- Siemens (Belgium)BE1 paper
- Swiss Federal Laboratories for Materials Science and TechnologyCH1 paper
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cs.CV2024★ 5 cited
Reference Dataset and Benchmark for Reconstructing Laser Parameters from On-axis Video in Powder Bed Fusion of Bulk Stainless Steel
Cyril Blanc, Ayyoub Ahar, Kurt De Grave
We present RAISE-LPBF, a large dataset on the effect of laser power and laser dot speed in powder bed fusion (LPBF) of 316L stainless steel bulk material, monitored by on-axis 20k…
cs.CV2022★ 5 cited
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
Bram Vanherle, Jeroen Put, Nick Michiels +1
In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To…
cs.CV2016★ 6 cited
Embedded Line Scan Image Sensors: The Low Cost Alternative for High Speed Imaging
Stef Van Wolputte, Wim Abbeloos, Stijn Helsen +2
In this paper we propose a low-cost high-speed imaging line scan system. We replace an expensive industrial line scan camera and illumination with a custom-built set-up of cheap of…