Synthetic data generation for bridging Sim2Real gap in a production environment

P Rawal, M Sompura, W Hintze - arXiv preprint arXiv:2311.11039, 2023 - arxiv.org
Synthetic data is being used lately for training deep neural networks in computer vision
applications such as object detection, object segmentation and 6D object pose estimation …

Generating Synthetic LiDAR Point Cloud Data for Object Detection Using the Unreal Game Engine

M Eggert, M Schade, F Bröhl, A Moriz - International Conference on …, 2024 - Springer
Object detection based on artificial intelligence is ubiquitous in today's computer vision
research and application. The training of the neural networks for object detection requires …

Study on the influence of texture variation on the validation performance of a synthetically trained object detector

A Moriz, D Wolfschläger… - DataNinja sAIOnARA …, 2024 - biecoll.ub.uni-bielefeld.de
In recent years, the utilization of synthetic data for the training of Deep Learning (DL)
approaches has emerged as a valid alternative to the costly process of real data acquisition …

Deep learning-based error recognition in manual cable assembly using synthetic training data

J Conrad, T Stauffer, X Meng, J Ferchow, M Meboldt - Procedia CIRP, 2024 - Elsevier
Assembly states can be automatically recognized using deep learning models for computer
vision. However, the requisite extensive effort and specialized know-how for training data …

Generating Synthetic Data Using a Knowledge-based Framework for Autonomous Productions

O Petrovic, DLD Duarte, W Herfs - 2023 IEEE/ASME …, 2023 - ieeexplore.ieee.org
Instead of taking images with a camera, synthetic data is generated in a computer
simulation. One advantage of this is that training data can be generated on-demand, eg, to …