TY - CHAP A1 - Alhwarin, Faraj A1 - Ferrein, Alexander A1 - Scholl, Ingrid T1 - An Efficient Hashing Algorithm for NN Problem in HD Spaces T2 - Lecture Notes in Computer Science Y1 - 2019 SN - 978-303005498-4 U6 - https://doi.org/10.1007/978-3-030-05499-1_6 N1 - 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018; Funchal; Portugal; 16 January 2018 through 18 January 2018; Code 222779 SP - 101 EP - 115 ER - TY - CHAP A1 - Alhwarin, Faraj A1 - Ferrein, Alexander A1 - Scholl, Ingrid T1 - CRVM: Circular Random Variable-based Matcher - A Novel Hashing Method for Fast NN Search in High-dimensional Spaces T2 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 Y1 - 2018 SN - 978-989-758-276-9 U6 - https://doi.org/10.5220/0006692802140221 SP - 214 EP - 221 ER - TY - CHAP A1 - Alhwarin, Faraj A1 - Schiffer, Stefan A1 - Ferrein, Alexander A1 - Scholl, Ingrid T1 - Optimized KinectFusion Algorithm for 3D Scanning Applications T2 - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING Y1 - 2018 SN - 978-989-758-278-3 U6 - https://doi.org/10.5220/0006594700500057 SP - 50 EP - 57 ER - TY - CHAP A1 - Krückel, Kai A1 - Nolden, Florian A1 - Ferrein, Alexander A1 - Scholl, Ingrid T1 - Intuitive visual teleoperation for UGVs using free-look augmented reality displays T2 - 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA Y1 - 2015 U6 - https://doi.org/10.1109/ICRA.2015.7139809 SP - 4412 EP - 4417 ER - TY - CHAP A1 - Alhwarin, Faraj A1 - Ferrein, Alexander A1 - Scholl, Ingrid T1 - IR stereo kinect: improving depth images by combining structured light with IR stereo T2 - PRICAI 2014: Trends in artificial intelligence : 13th Pacific Rim International Conference on Artificial Intelligence : Gold Coast, QLD, Australia, December 1-5, 2014 : proceedings. (Lecture notes in computer science ; vol. 8862) N2 - RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. While these sensors are great devices they have some limitations. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. If more than one RGB-D camera is used the IR patterns interfere with each other. This results in a massive loss of depth information. In this paper, we present a simple and powerful method to overcome these problems. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The resulting disparity map is then fused with the depth map offered by the RGB-D sensor to fill the regions and the holes that appear because of interference, or due to transparent or reflective objects. Our results show that the density of depth information is increased especially for transparent, shiny or matte objects. Y1 - 2014 SN - 978-3-319-13559-5 (Print) ; 978-3-319-13560-1 (E-Book) U6 - https://doi.org/10.1007/978-3-319-13560-1_33 SP - 409 EP - 421 PB - Springer CY - München ER - TY - CHAP A1 - Neumann, Tobias A1 - Ferrein, Alexander A1 - Kallweit, Stephan A1 - Scholl, Ingrid T1 - Towards a mobile mapping robot for underground mines T2 - 7th Conference of Robotics and Mechatronics : RobMech 2014 : 27th and 28th Nov. 2014, Cape Town Y1 - 2014 SP - 1 EP - 6 ER - TY - CHAP A1 - Kallweit, Stephan A1 - Ferrein, Alexander A1 - Scholl, Ingrid A1 - Reichert, Walter T1 - Mobile Autonome Systeme in der Lehre, am Beispiel der ROS Summer School T2 - Tagungsband AALE 2014 : das Forum für Fachleute der Automatisierungstechnik aus Hochschulen und Wirtschaft ; 11. Fachkonferenz, Regensburg ; [11. Konferenz für Angewandte Automatisierungstechnik in Lehre und Entwicklung / Ostbayerische Technische Hochschule Regensburg; VFAALE, Verein der Freunde und Förderer der Angewandten Automatisierungstechnik] Y1 - 2014 SN - 978-3-8356-7142-3 N1 - Die Textverteilung der elektronischen Zweitveröffentlichung entspricht nicht der der o.g. Verlagsausgabe. SP - 157 EP - 163 PB - Dt. Industrieverl. CY - München ER - TY - CHAP A1 - Donner, Ralf A1 - Rabel, Matthias A1 - Scholl, Ingrid A1 - Ferrein, Alexander A1 - Donner, Marc A1 - Geier, Andreas A1 - John, André A1 - Köhler, Christian A1 - Varga, Sebastian T1 - Die Extraktion bergbaulich relevanter Merkmale aus 3D-Punktwolken eines untertagetauglichen mobilen Multisensorsystems T2 - Tagungsband Geomonitoring Y1 - 2019 U6 - https://doi.org/10.15488/4515 SP - 91 EP - 110 ER - TY - CHAP A1 - Ferrein, Alexander A1 - Scholl, Ingrid A1 - Neumann, Tobias A1 - Krückel, Kai A1 - Schiffer, Stefan T1 - A system for continuous underground site mapping and exploration Y1 - 2019 U6 - https://doi.org/10.5772/intechopen.85859 ER - TY - JOUR A1 - Scholl, Ingrid A1 - Palm, Christoph A1 - Lehmann, Thomas Martin A1 - Spitzer, Klaus T1 - Nutzung eines Farbkonstanz-Algorithmus zur Entfernung von Glanzlichtern in laryngoskopischen Bildern JF - Methoden der Medizinischen Informatik, Biometrie und Epidemiologie in der modernen Informationsgesellschaft Y1 - 1998 SN - 3-8208-1335-7 N1 - Jahrestagung der GMDS ; 43 SP - 300 EP - 303 PB - MVV, Medien und Medizin CY - München ER - TY - CHAP A1 - Scholl, Ingrid A1 - Schubert, Nicole A1 - Ziener, Pascal A1 - Pietrzyk, Uwe T1 - GPU-basiertes Volumenrendering von multimodalen medizinischen Bilddaten in Echtzeit T2 - Bildverarbeitung für die Medizin 2010 N2 - Die vorliegende Arbeit zeichnet sich dadurch aus, dass registrierte unsegmentierte Volumina aus multimodalen Bilddatensätzen (z.B. MRT, PET) gleichzeitig in einer 3D-Rekonstruktion visualisiert werden und in Echtzeit manipuliert werden können. Ermöglicht wird die Echtzeitfähigkeit durch die Programmierung der Algorithmen zur direkten Volumenvisualisierung auf der Grafikkarte mittels der neuen CUDA-Technologie. Die Zuordnung der Farbeigenschaften wird über 1D-Transferfunktionen für jedes Volumen getrennt gesteuert. So können durch die interaktive Veränderung der 1D-Transferfunktion Detailinformationen aus den zwei Bilddatensätzen getrennt kontrolliert werden und die Vorteile der verschiedenen Bildmodalitäten in einer Visualisierung genutzt werden. Mittels dieses interaktiven Frameworks können neue Erkenntnisse insbesondere über neurodegenerativen Erkrankungen gewonnen werden. Y1 - 2010 SN - 978-3-642-11967-5 N1 - Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme - Anwendungen, Aachen, Germany, March 14-16, 2010 SP - 400 EP - 404 PB - Springer CY - Berlin ER - TY - CHAP A1 - Schmitt, Robert A1 - Scholl, Ingrid A1 - Cai, Yu A1 - Xia, Ji A1 - Dziwoki, Paul A1 - Harding, Martin A1 - Pavim, Alberto T1 - Machine vision system for inline inspection in carbide insert production T2 - Proceedings of the 36th International MATADOR Conference N2 - In steps of the production chain of carbide inserts, such as unloading or packaging, the conformity test of the insert type is done manually, which causes a statistic increase of errors due to monotony and fatigue of the worker and the wide variety of the insert types. A machine vision system is introduced that captures digital frames of the inserts in the production line, analyses inspects automatically and measures four quality features: coating colour, edge radius, plate shape and chip-former geometry. This new method has been tested on several inserts of different types and has shown that the prevalent insert types can be inspected and robustly classified in real production environment and therefore improves the manufacturing automation. Y1 - 2010 SN - 978-1-84996-431-9 U6 - https://doi.org/10.1007/978-1-84996-432-6_77 N1 - 36th MATADOR Conference, University of Manchester, July 2010 SP - 339 EP - 342 PB - Springer CY - Berlin ER - TY - JOUR A1 - Scholl, Ingrid A1 - Palm, Christoph A1 - Lehmann, Thomas Martin A1 - Spitzer, Klaus T1 - Quantitative Farbmessung in laryngoskopischen Bildern. Palm, C; Scholl, I; Lehmann, TM; Spitzer, K. JF - Bildverarbeitung für die Medizin 1998. Hrsg.: Thomas Lehmann ... Y1 - 1998 SN - 3-540-63885-7 SP - 412 EP - 416 PB - Springer CY - Berlin ER - TY - BOOK A1 - Scholl, Ingrid ED - Lehmann, Thomas Martin ED - Spitzer, Klaus T1 - Bildverarbeitung für die Medizin : Algorithmen - Systeme - Anwendungen ; proceedings des Aachener Workshops am 8. und 9. November 1996 / Institut für Medizinische Informatik und Biometrie der RWTH Aachen. Hrsg. von Thomas Lehmann ; Ingrid Scholl ; Klaus Spitzer Y1 - 1996 SN - 3-86073-519-5 PB - Verlag der Augustinus-Buchhandlung CY - Aachen ER - TY - CHAP A1 - Scholl, Ingrid A1 - Bartella, Alexander K. A1 - Moluluo, Cem A1 - Ertural, Berat A1 - Laing, Frederic A1 - Suder, Sebastian T1 - MedicVR : Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality T2 - Bildverarbeitung für die Medizin 2019 : Algorithmen – Systeme – Anwendungen Y1 - 2019 SN - 978-3-658-25326-4 U6 - https://doi.org/10.1007/978-3-658-25326-4_32 SP - 152 EP - 157 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Ferrein, Alexander A1 - Nikolovski, Gjorgji A1 - Limpert, Nicolas A1 - Reke, Michael A1 - Schiffer, Stefan A1 - Scholl, Ingrid ED - Küçük, Serdar T1 - Controlling a Fleet of Autonomous LHD Vehicles in Mining Operation T2 - Multi-Robot Systems - New Advances N2 - In this chapter, we report on our activities to create and maintain a fleet of autonomous load haul dump (LHD) vehicles for mining operations. The ever increasing demand for sustainable solutions and economic pressure causes innovation in the mining industry just like in any other branch. In this chapter, we present our approach to create a fleet of autonomous special purpose vehicles and to control these vehicles in mining operations. After an initial exploration of the site we deploy the fleet. Every vehicle is running an instance of our ROS 2-based architecture. The fleet is then controlled with a dedicated planning module. We also use continuous environment monitoring to implement a life-long mapping approach. In our experiments, we show that a combination of synthetic, augmented and real training data improves our classifier based on the deep learning network Yolo v5 to detect our vehicles, persons and navigation beacons. The classifier was successfully installed on the NVidia AGX-Drive platform, so that the abovementioned objects can be recognised during the dumper drive. The 3D poses of the detected beacons are assigned to lanelets and transferred to an existing map. Y1 - 2023 SN - 978-1-83768-290-4 U6 - https://doi.org/10.5772/intechopen.113044 PB - Intech Open CY - London ER -