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Research outputs

As an application-oriented research organisation, Fraunhofer aims to conduct highly innovative and solution-oriented research - for the benefit of society and to strengthen the German and European economy.

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Projects

Fraunhofer is tackling the current challenges facing industry head on. By pooling their expertise and involving industrial partners at an early stage, the Fraunhofer Institutes involved in the projects aim to turn original scientific ideas into marketable products as quickly as possible.

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Researchers

Scientific achievement and practical relevance are not opposites - at Fraunhofer they are mutually dependent. Thanks to the close organisational links between Fraunhofer Institutes and universities, science at Fraunhofer is conducted at an internationally first-class level.

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Institutes

The Fraunhofer-Gesellschaft is the leading organisation for applied research in Europe. Institutes and research facilities work under its umbrella at various locations throughout Germany.

Recent Additions

  • Publication
    2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
    ( 2024)
    Kiefer, Benjamin
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    Žust, Lojze
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    Kristan, Matej
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    Perš, Janez
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    Teršek, Matija
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    Wiliem, Arnold
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    Messmer, Martin
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    Yang, Cheng
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    Huang, Wei
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    Jiang, Zhongyu
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    Kuo, Cheng-liang
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    Mei, Jie
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    Hwang, Jenq-neng
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    Huang, Kaer
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    Aiguo Zheng
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    Chong, Weitu
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    Lertniphonphan, Kanokphan
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    Xie, Lie-jun
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    Chen, Feng
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    Li, Jian
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    Wang, Zhepeng
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    Zedda, Luca
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    Loddo, Andrea
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    Di Ruberto, Cecilia
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    Vu, Tuan-Anh
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    Hai, Nguyen
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    Ha, Van Sang
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    Tien, Dung Pham
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    Yeung, Kit Ling
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    Feng, Yuan
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    Thien, Nguyen Thanh
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    Tian, Lixin
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    Kuan, Sheng-Yao
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    Ho, Yuan-Hao
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    Bueno Rodriguez, Angel
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    Carrillo-Perez, Borja
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    Klein, Alexander
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    Alex, Antje
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    Steiniger, Yannik
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    Sattler, Felix
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    Solano-carrillo, Edgardo
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    Fabijanić, Matej
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    Šumunec, Magdalena
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    Kapetanović, Nadir
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    Weinmann, Martin
    The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV). Three challenges categories are considered: (i) UAV-based Maritime Object Tracking with Re-ideruification, (ii) USV-based Maritime Obstacle Segmentation and Detection, (iii) USV-based Maritime Boat Tracking. The USV-based Maritime Obstacle Segmentation and Detection features three sub-challenges, including a new embedded challenge addressing efficicent inference on real-world embedded devices. This report offers a comprehensive overview of the findings from the challenges. We provide both statistical and qualitative analyses, evaluating trends from over 195 submissions. All datasets, evaluation code, and the leaderboard are available to the public at https://macvi.org/workshop/macvi24.
  • Publication
    Security Fence Inspection at Airports Using Object Detection
    ( 2024)
    Friederich, Nils
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    To ensure the security of airports, it is essential to protect the airside from unauthorized access. For this pur-pose, security fences are commonly used, but they require regular inspection to detect damages. However, due to the growing shortage of human specialists and the large man-ual effort, there is the need for automated methods. The aim is to automatically inspect the fence for damage with the help of an autonomous robot. In this work, we explore object detection methods to address the fence inspection task and localize various types of damages. In addition to evaluating four State-of-the-Art (SOTA) object detection models, we analyze the impact of several design criteria, aiming at adapting to the task-specific challenges. This in-cludes contrast adjustment, optimization of hyperparameters, and utilization of modern backbones. The experimental results indicate that our optimized You Only Look Once v5 (YOLOv5) model achieves the highest accuracy of the four methods with an increase of 6.9% points in Average Precision (AP) compared to the baseline. Moreover, we show the real-time capability of the model. The trained models are published on GitHub: hups://github.com/IN-Friederichlairport_fence_inspection.
  • Publication
    Reconstruction of the Ferromagnetic Hysteresis in the Rayleigh Regime by Means of Impedance Analysis of the Excitation Coil
    Ferromagnetic hysteresis measurements can be used to determine both magnetic and mechanical state variables that correlate with each other. Therefore, hysteresis measurements are suitable for mechanical material characterization. The application of standardized hysteresis measurement methods is complex and can only be used to a limited extent in an industrial environment. In this work, a BH (ferromagnetic hysteresis) curve is to be reconstructed on 22NiMoCr3-7 samples that are in different mechanically deformed states (different histories). The reconstruction of the hysteresis is performed by an impedance analysis of the H-field generating coil. The applied method demonstrates that the ferromagnetic hysteresis can be reconstructed by means of an impedance analysis and is sensitive to different states of plastical deformation.

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