1. Wuest, T.; Weimer, D.; Irgens, C.; Thoben, K.-D. (2015). Machine Learning in Manufacturing: Advantages, Challenges and Applications. (In preparation, to be submitted to Production & Manufacturing Research)
  2. Becker, T.; Weimer, D.;Pannek, J. (2015): Network structures and decentralized control in logistics: topology, interfaces and dynamics. International Journal of Advanced Logistics, Vol. 4(1), p. 1-8
  3. Weimer, D.; Huferath-v. Lüpke, S.; Tausendfreund, A.; Bergmann, R.B.; Goch, G.; Scholz-Reiter, B. (2014): Dimensional in situ shape and surface inspection of metallic micro components in micro bulk manufacturing. Advanced Materials Research, Vol. 1018, p. 493-500
  4. Weimer, D.; Becker, T. (2014); Prediction of return shipments in online shops using machine learning, Industrie 4.0 Management, Vol. 6, p. 47- 50
  5. Scholz-Reiter, B.; Weimer, D.; Thamer, H. (2012): Automated surface inspection of cold formed micro parts. CIRP Annals - Manufacturing Technology, Annals of the International Academy for Production Engineering, Vol. 61(1), p. 531-53
  6. Lütjen, M.; Rippel, D.; Weimer, D.; Gandecki, S.; Kleefeld, S. (2012): Challenges in handling of micro components. In: Industrie Management, 28(6), p. 51-54
  7. Weimer, D.; Scholz-Reiter, B. (2012): Precise Detection of Surface Defects in the Micro Range, In: Industrie Management, Vol. 28(5), p. 61-64


  1. Scholz-Reiter, B.; Lütjen, M.; Weimer, D.; Rippel, D.; Thamer, H. (2013): Quality-oriented design of process chains. In: Vollertsen, F. (ed.): Micro Metal Forming, Lecture Notes in Production Engineering. Springer, Berlin, p. 415-430
  2. Thamer, H.; Weimer, D.; Kost, H.; Scholz-Reiter, B. (2013): 3D-Computer vision for automation of logistic processes. In: Clausen, U.; ten Hompel, M.; Meier, J. F. (eds.): Efficiency and Innovation in Logistics, Lecture Notes in Logistics. Springer International Publishing, Heidelberg, p. 67-75
  3. Thamer, H.; Taj, F.; Weimer, D.; Kost, H.; Scholz-Reiter, B. (2012): Combined categorization and localization of logistic goods using superquadrics. In: M. Kamel; A. Campilho (eds.): Image Analysis and Recognition, Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, 7950, p. 215-224

Conference Proceedings

  1. Rippel, D.; Weimer, D.; Lütjen, M (2015): Evaluation of logistic quality control concepts using descrete event simulation (submitted to Kolloquium Mikroproduktion)
  2. Becker, T.; Weimer, D. (2014): Identification of Autonomous Structures in Dynamic Manufacturing Networks using Clustering Approaches. The Annual Cambridge International Manufacturing Symposium. London, p. 1-11
  3. Weimer, D.; Huferath-von Luepke, S.; Falldorf, C.; Lütjen, M.; Kreis, Th.; von Freyberg, A.; Bergmann, R.B.; Goch, G.; Scholz-Reiter, B. (2014): A comparison of in-situ measuring systems within micro cold forming, Proceedings of the International Conference on Nanomanufacturing
  4. Weimer, D.; Thamer, H.; Thoben, K.D. (2014): GPU architecture for unsupervised surface inspection using multi-scale texture analysis. Procedia Technology,.Vol. 15, p. 287-284
  5. Weimer, D.; Thamer, H.; Fellmann, C.; Lütjen, M.; Thoben, K.D.; Scholz-Reiter, B. (2014): Towards 100% in-situ 2D/3D quality inspection of metallic micro components using plenoptic cameras. Procedia CIRP, Vol. 17, p. 847-852
  6. Thamer, H.; Kost, H.; Weimer, D.; Thoben, K.-D.; Scholz-Reiter, B. (2014): 3D-Objekterkennung von heterogenen Stückgütern in ungeordneten Packszenarien. In: Schenk, M.; Zadek, H.; Müller, G.; Richter, K.; Seidel, H. (Hrsg.): 19. Magdeburger Logistiktage. Sichere und nachhaltige Logistik, Fraunhofer IFF, Magdeburg, p. 129-137
  7. Piotrowska-Kurczewski, I.; Schlasche, J.W.; Weimer, D.; Scholz-Reiter, B.; Maass, P. (2013): Image denoising and quality inspection of micro components using Perona-Malik diffusion. Procedia CIRP, Vol. 8, p. 432-437
  8. Thamer, H.; Weimer, D.; Kost, H.; Scholz-Reiter, B. (2013): 3D object categorization of logistic goods for automated handling. Signal Processing, Pattern Recognition and Applications. ACTA Press, Innsbruck, p. 416-423
  9. Weimer, D.; Thamer, H.; Scholz-Reiter, B. (2013): Learning defect classifiers for textured surfaces using neural networks and statistical feature representations. Procedia CIRP, Vol. 7, p. 347-352
  10. Thamer, H.; Weimer, D.; Scholz-Reiter, B. (2013): 3D-Bildverarbeitung für die automatische Entladung von Standardladungsträgern. 18.Magdeburger Logistiktage. Sichere und nachhaltige Logistik, Fraunhofer Verlag, Stuttgart, p. 203-209
  11. Thamer, H; Weimer, D.; Scholz-Reiter, B. (2013): A test environment for feature-based range data registration. Recent Advances in Computer Science and Applications. WSEAS Press, Valencia, p. 126-131
  12. Thamer, H.; Kost, H.; Weimer, D. (2013); Scholz-Reiter, B.: A 3D-robot vision system for automatic unloading of containers. In: 18th IEEE International Conference on Emerging Technologies and Factory Automation. IEEE, Cagliari, p. 1-7
  13. Weimer, D.; Rippel, D.; Thamer, H.; Lütjen, M.; Scholz-Reiter, B. (2013): Prediction of process stability in laser-chemical ablation by using a multivariate gaussian distribution. Recent Advances in Intelligent Control, Modelling and Computational Science. WSEAS Press, Valencia, p. 68-72
  14. Weimer, D.; Rippel, D.; Hildebrandt, T.; Lütjen, M.; Scholz-Reiter, B. (2014): A strategy for logistic quality control in micro bulk production. Procedia Technology, Vol. 15, p. 323-332
  15. Scholz-Reiter, B.; Rippel, D.; Weimer, D.; Jacobi, J.; Lütjen, M.; Thamer, H.: Process design for automated surface inspection in micro cold forming. Proceedings of the 8th International Workshop on Microfactories. University of Tampere, Tampere, 2012, p. 1-7
  16. Weimer, D.; Hellert, C.; Köhler, S.; Doll, K.; Brunsmann, U.; Krzikalla, R. (2011): GPU architecture for stationary multisensor pedestrian detection at smart intersections. IEEE Intelligent Vehicles Symposium (IV), p. 89-94