Plan-Based Robot Control

Page 5 of 20.

1. Marc Eisoldt; Alexander Mock; Mario Porrmann; Thomas Wiemann

   Towards 6D MCL for LiDARs in 3D TSDF Maps on Embedded Systems with GPUs

   In: Proceedings of the 2023 IEEE International Conference on Robotic Computing. IEEE International Conference on Robotic Computing (IRC-2023), IEEE, …

2. Julian Gaal; Thomas Wiemann; Alexander Mock; Mario Porrmann

   FeatSense – A Feature-based Registration Algorithm with GPU-accelerated TSDF-Mapping Backend for NVIDIA Jetson Boards

   In: Proccedings of the 2023 IEEE International Conference on Robotic Computing. IEEE International Conference on Robotic Computing (IRC-2023), IEEE, …

3. Jan Christoph Krause; Naeem Iqbal; Mark Niemeyer; Benedikt Thy; Lutz Plagge; Hannes Hollmeier; Arno Ruckelshausen; Sebastian Röttgermann; Alexander Tauber; Jens Herbers; Stefan Menke; Joachim Hertzberg

   AI-TEST-FIELD – A Test Environment for the Automated Evaluation of Methods for Robust and Reliable Environment Perception

   In: LAND.TECHNIK AgEng 2023. International Conference Agricultural Engineering (LAND.TECHNIK-2023), 80th International Conference on Agricultural …

4. Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler

   Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data

   In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …

5. Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

   Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

   In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …

6. J.M. Górriz; I. Álvarez-Illán; A. Álvarez-Marquina; J.E. Arco; M. Atzmueller; F. Ballarini; E. Barakova; G. Bologna; P. Bonomini; G. Castellanos-Dominguez; D. Castillo-Barnes; S.B. Cho; R. Contreras; J.M. Cuadra; E. Domínguez; F. Domínguez-Mateos; R.J. Duro; D. Elizondo; A. Fernández-Caballero; E. Fernandez-Jover; M.A. Formoso; N.J. Gallego-Molina; J. Gamazo; J. García González; J. Garcia-Rodriguez; C. Garre; J. Garrigós; A. Gómez-Rodellar; P. Gómez-Vilda; M. Graña; B. Guerrero-Rodriguez; S.C.F. Hendrikse; C. Jimenez-Mesa; M. Jodra-Chuan; V. Julian; G. Kotz; K. Kutt; M. Leming; J. de Lope; B. Macas; V. Marrero-Aguiar; J.J. Martinez; F.J. Martinez-Murcia; R. Martínez-Tomás; J. Mekyska; G.J. Nalepa; P. Novais; D. Orellana; A. Ortiz; D. Palacios-Alonso; J. Palma; A. Pereira; P. Pinacho-Davidson; M.A. Pinninghoff; M. Ponticorvo; A. Psarrou; J. Ramírez; M. Rincón; V. Rodellar-Biarge; I. Rodríguez-Rodríguez; P.H.M.P. Roelofsma; J. Santos; D. Salas-Gonzalez; P. Salcedo-Lagos; F. Segovia; A. Shoeibi; M. Silva; D. Simic; J. Suckling; J. Treur; A. Tsanas; R. Varela; S.H. Wang; W. Wang; Y.D. Zhang; H. Zhu; Z. Zhu; J.M. Ferrández-Vicente

   Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

   In: Information Fusion, Vol. 100, Pages 1-37, Elsevier, 2023.

7. Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller

   Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

   In: Eyuphan Bulut; Florian Tschorsch; Kanchana Thilakarathna (Hrsg.). Proceedings of the 48th IEEE Conference on Local Computer Networks - LCN 2023. …

8. Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller

   Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

   In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.

9. Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

   Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

   In: International Journal of Data Science and Analytics, Pages 1-18, Springer, 2023.

10. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. …

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