341 citations · 343 across the 6 of their papers we have counts for
6 papers
Virtual Process Dossier: A Process-Aware Data Catalogue
Lukas Kubelka, Alexander Bott, Frank Döhner +6
We propose the Virtual Process Dossier (VPD), a Knowledge Graph-based data catalogue that also captures workflow provenance. We developed VPD for multi-stage manufacturing use-case…
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Chengzhi Wu, Xuelei Bi, Julius Pfrommer +3
On robotics computer vision tasks, generating and annotating large amounts of data from real-world for the use of deep learning-based approaches is often difficult or even impossib…
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors
Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser +7
To enable automatic disassembly of different product types with uncertain conditions and degrees of wear in remanufacturing, agile production systems that can adapt dynamically to…
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer +2
We present an improved approach for 3D object detection in point cloud data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed meth…
Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou +1
We propose a combined generative and contrastive neural architecture for learning latent representations of 3D volumetric shapes. The architecture uses two encoder branches for vox…
Dynamic vehicle redistribution and online price incentives in shared mobility systems
Julius Pfrommer, Joseph Warrington, Georg Schildbach +1
This paper considers a combination of intelligent repositioning decisions and dynamic pricing for the improved operation of shared mobility systems. The approach is applied to Lond…