GBOT: Graph-based 3d object tracking for augmented reality-assisted assembly guidance

S Li, H Schieber, N Corell, B Egger… - … Virtual Reality and …, 2024 - ieeexplore.ieee.org
Guidance for assemblable parts is a promising field for augmented reality. Augmented
reality assembly guidance requires 6D object poses of target objects in real time. Especially …

A Synthetic Data Generation Approach With Dynamic Camera Poses for Long-Range Object Detection in AI Applications

M Bibi, AN Khan, M Faseeh, QW Khan, R Ahmad… - IEEE …, 2024 - ieeexplore.ieee.org
Accurate long-range object detection is essential for applications such as security and
surveillance. However, existing datasets often lack the complexity needed to represent real …

Asdf: Assembly state detection utilizing late fusion by integrating 6d pose estimation

H Schieber, S Li, N Corell, P Beckerle… - … on Mixed and …, 2024 - ieeexplore.ieee.org
In medical and industrial domains, providing guidance for assembly processes can be
critical to ensure efficiency and safety. Errors in assembly can lead to significant …

Hybrid Data Augmentation for Enhanced Crack Detection in Building Construction

SM Choi, HS Cha, S Jiang - Buildings, 2024 - mdpi.com
Quality management in construction projects necessitates early defect detection, traditionally
conducted manually by supervisors, resulting in inefficiencies and human errors. Addressing …

Error Management for Augmented Reality Assembly Instructions

A Stanescu, P Mohr, F Thaler… - … on Mixed and …, 2024 - ieeexplore.ieee.org
Augmented reality (AR) lends itself to presenting visual instructions on how to assemble or
disassemble an object. Splitting the assembly procedure into shorter steps and presenting …

[HTML][HTML] Detection of Surgical Instruments Based on Synthetic Training Data

L Wiese, L Hinz, E Reithmeier, P Korn, M Neuhaus - Computers, 2025 - mdpi.com
Due to a significant shortage of healthcare staff, medical facilities are increasingly
challenged by the need to deploy current staff more intensively, which can lead to significant …

MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation

YJ Kang, Y Jung, W Shin, B Kim, S Seo - arxiv preprint arxiv:2502.03966, 2025 - arxiv.org
In this paper, we present synthetic data generation framework for flood hazard detection
system. For high fidelity and quality, we characterize several real-world properties into virtual …

UnrealFall: Overcoming Data Scarcity through Generative Models

D Mulero-Pérez, M Benavent-Lledo… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Humans perform a variety of actions, some of which are infrequent but crucial for data
collection. Synthetic generation techniques are highly effective in these situations …

Medical instrument detection with synthetically generated data

L Wiese, L Hinz, E Reithmeier - Medical Imaging 2024 …, 2024 - spiedigitallibrary.org
The persistent need for more qualified personnel in operating theatres exacerbates the
remaining staff's workload. This increased burden can result in substantial complications …

Towards an Efficient Synthetic Image Data Pipeline for Training Vision-Based Robot Systems

P Gavriel, A Norton, K Kimble… - arxiv preprint arxiv …, 2024 - arxiv.org
Training data is an essential resource for creating capable and robust vision systems which
are integral to the proper function of many robotic systems. Synthesized training data has …