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GBOT: Graph-based 3d object tracking for augmented reality-assisted assembly guidance
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 …
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
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 …
surveillance. However, existing datasets often lack the complexity needed to represent real …
Asdf: Assembly state detection utilizing late fusion by integrating 6d pose estimation
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 …
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 …
conducted manually by supervisors, resulting in inefficiencies and human errors. Addressing …
Error Management for Augmented Reality Assembly Instructions
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 …
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 …
challenged by the need to deploy current staff more intensively, which can lead to significant …
MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation
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 …
system. For high fidelity and quality, we characterize several real-world properties into virtual …
UnrealFall: Overcoming Data Scarcity through Generative Models
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 …
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 …
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
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 …
are integral to the proper function of many robotic systems. Synthesized training data has …