Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB

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  • Publication
    Simulation study and experimental validation of a neural network-based predictive tracking system for sensor-based sorting
    ( 2023)
    Maier, Georg
    ;
    Reith-Braun, Marcel
    ;
    Bauer, Albert
    ;
    Gruna, Robin
    ;
    Pfaff, Florian
    ;
    Kruggel-Emden, Harald
    ;
    Längle, Thomas
    ;
    Hanebeck, Uwe D.
    ;
    Beyerer, Jürgen
    Sensor-based sorting offers cutting-edge solutions for separating granular materials. The line-scanning sensors currently in use in such systems only produce a single observation of each object and no data on its movement. According to recent studies, using an area-scan camera has the potential to reduce both characterization and separation error in a sorting process. A predictive tracking approach based on Kalman filters makes it possible to estimate the followed paths and parametrize a unique motion model for each object using a multiobject tracking system. While earlier studies concentrated on physically-motivated motion models, it has been demonstrated that novel machine learning techniques produce predictions that are more accurate. In this paper, we describe the creation of a predictive tracking system based on neural networks. The new algorithm is applied to an experimental sorting system and to a numerical model of the sorter. Although the new approach does not yet fully reach the achieved sorting quality of the existing approaches, it allows the use of the general method without requiring expert knowledge or a fundamental understanding of the parameterization of the particle motion model.
  • Publication
    The Filling Process of an Embankment Dam Monitored with PSI
    ( 2022)
    Evers, Madeline
    ;
    Thiele, Antje
    ;
    Hammer, Horst
    ;
    Hinz, S.
    Embankment dams are often used to supply their surrounding region with freshwater, hydro-energy or manage floods and are thus of great importance for the region. However, should the dam body burst, it would be an economic loss for the re-gion and threaten the environment, infrastructure, and human life. Therefore, monitoring embankment dams is crucial, es-pecially during the first filling. It is the time period in which the structure experiences the load of the impounded water for the first time. The technique Persistent Scatterer Interferom-etry is well-positioned for this task. Persistent Scatterer Inter-ferometry is a remote sensing technique and thus facilitates infrastructure monitoring in hardly accessible areas. In addition, the technique provides two-dimensional information on the surface deformation instead of sporadic pointwise infor-mation. One end product is a map of the mean velocity of the surface deformation of the observation target in line of sight of the sensor for a specific observation period. In this paper, we present the challenges of creating a surface deformation map for the Parapeiros-Peiros dam. The dam body is excepted to experience a significant amount of defor-mation within a small area during its first filling, which makes identifying persistent scatterers challenging. Hence, we also discuss different approaches described in the literature to select persistent scatterers and their suitability for this specific application.
  • Publication
    Forum Bildverarbeitung 2022
    (KIT Scientific Publishing, 2022)
    Längle, Thomas
    ;
    Heizmann, Michael
    Bildverarbeitung verknüpft das Fachgebiet die Sensorik von Kameras - bildgebender Sensorik - mit der Verarbeitung der Sensordaten - den Bildern. Daraus resultiert der besondere Reiz dieser Disziplin. Der vorliegende Tagungsband des „Forums Bildverarbeitung“, das am 24. und 25.11.2022 in Karlsruhe als Veranstaltung des Karlsruher Instituts für Technologie und des Fraunhofer-Instituts für Optronik, Systemtechnik und Bildauswertung stattfand, enthält die Aufsätze der eingegangenen Beiträge.