Juergen Beyerer
Juergen Beyerer
Professor für Informatik KIT Karlsruhe und Leiter des Fraunhofer-IOSB
Verified email at iosb.fraunhofer.de
Cited by
Cited by
Machine vision: Automated visual inspection: Theory, practice and applications
J Beyerer, FP León, C Frese
Springer, 2015
Automatische Sichtprüfung: Grundlagen, Methoden und Praxis der Bildgewinnung und Bildauswertung
J Beyerer, FP León, C Frese
Springer-Verlag, 2016
Fast deep vehicle detection in aerial images
LW Sommer, T Schuchert, J Beyerer
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 311-319, 2017
Deep cross-domain flying object classification for robust UAV detection
A Schumann, L Sommer, J Klatte, T Schuchert, J Beyerer
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
Low resolution person detection with a moving thermal infrared camera by hot spot classification
M Teutsch, T Muller, M Huber, J Beyerer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
A comparison of motion planning algorithms for cooperative collision avoidance of multiple cognitive automobiles
C Frese, J Beyerer
2011 IEEE intelligent vehicles symposium (IV), 1156-1162, 2011
PPRS: Production skills and their relation to product, process, and resource
J Pfrommer, M Schleipen, J Beyerer
2013 IEEE 18th Conference on Emerging Technologies & Factory Automation …, 2013
Recognition of dangerous situations within a cooperative group of vehicles
T Batz, K Watson, J Beyerer
2009 IEEE Intelligent Vehicles Symposium, 907-912, 2009
Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems
J Pfrommer, D Stogl, K Aleksandrov, SE Navarro, B Hein, J Beyerer
at-Automatisierungstechnik 63 (10), 790-800, 2015
Three-dimensional measurement of specular free-form surfaces with a structured-lighting reflection technique
D Perard, J Beyerer
Three-Dimensional Imaging and Laser-Based Systems for Metrology and …, 1997
Drone-vs-Bird Detection Challenge at IEEE AVSS2021
A Coluccia, A Fascista, A Schumann, L Sommer, A Dimou, D Zarpalas, ...
2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021
Optimisation of manufacturing process parameters using deep neural networks as surrogate models
J Pfrommer, C Zimmerling, J Liu, L Kärger, F Henning, J Beyerer
Procedia CiRP 72, 426-431, 2018
Die Radontransformation in der digitalen Bildverarbeitung (The Radon Transform in Digital Image Processing)
J Beyerer, F Puente León
Oldenbourg Wissenschaftsverlag GmbH 50 (10), 472, 2002
Multiview specular stereo reconstruction of large mirror surfaces
J Balzer, S Hofer, J Beyerer
CVPR 2011, 2537-2544, 2011
Inspection of specular and partially specular surfaces
S Werling, M Mai, M Heizmann, J Beyerer
Metrology and Measurement Systems 16 (3), 415-431, 2009
Suppression of inhomogeneities in images of textured surfaces
J Beyerer, FP León
Optical Engineering 36 (1), 85-93, 1997
A survey on moving object detection for wide area motion imagery
LW Sommer, M Teutsch, T Schuchert, J Beyerer
2016 IEEE winter conference on applications of computer vision (WACV), 1-9, 2016
Analyse von Riefentexturen
J Beyerer
VDI-Verlag, 1994
Method and device for determining an angled structure in the surface of a precision machined cylindrical work piece
J Beyerer, D Krahe
US Patent 6,873,721, 2005
Shape from specular reflection and optical flow
J Lellmann, J Balzer, A Rieder, J Beyerer
International Journal of Computer Vision 80 (2), 226-241, 2008
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