Fr\u00e4nzel, N., Greifzu, N, Schneider, M., Wenzel, A.<\/strong> Fr\u00e4nzel, N., Greifzu, N., Wenzel, A.<\/strong> M\u00fcller, St., Stephan, B., Gross, H.-M.<\/strong> Zhang, Y., M\u00fcller, St., Stephan, B., Gross, H.-M., Notni, G.<\/strong> M\u00fcller, St., Wengefeld, T., Trinh, T. Q., Aganian, D., Eisenbach, M., Gross, H.-M.<\/strong> Rosenberger, Maik, et al.<\/strong> Zhang Y, Zhang C, Rosenberger M, Notni G. <\/strong> 2019<\/strong><\/p>\n\n\n\n Wengefeld, T., M\u00fcller, St., Lewandowski, B., Gross, H.-M.<\/strong> Zhang Y, Zhang C, Nestler R, Rosenberger M, Notni G.<\/strong> Zhang, Y., et al.<\/strong> 2021 Fr\u00e4nzel, N., Greifzu, N, Schneider, M., Wenzel, A.Bootstrapping a Wireless Localization System.in: IEEE: The 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, ISBN: 978-6654-0306-1, 12\/2021 Fr\u00e4nzel, N., Greifzu, N., Wenzel, A.Robuste Lokalisierung in drahtlosen Sensornetzwerken.in: IEEE: The 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, ISBN: 978-1-6654-0306-1, 12\/2021 … Weiterlesen<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-574","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=\/wp\/v2\/pages\/574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=574"}],"version-history":[{"count":11,"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=\/wp\/v2\/pages\/574\/revisions"}],"predecessor-version":[{"id":670,"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=\/wp\/v2\/pages\/574\/revisions\/670"}],"wp:attachment":[{"href":"https:\/\/www.sonaro-projekt.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Bootstrapping a Wireless Localization System.<\/em>
in: IEEE: The 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, ISBN: 978-6654-0306-1, 12\/2021<\/p>\n\n\n\n
Robuste Lokalisierung in drahtlosen Sensornetzwerken.<\/em>
in: IEEE: The 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, ISBN: 978-1-6654-0306-1, 12\/2021<\/p>\n\n\n\n
MDP-based Motion Planning for Grasping in Dynamic Szenarios.<\/em>
in: Europ. Conf. on Mobile Robotics (ECMR), Bonn, Germany, 2021<\/p>\n\n\n\n
Point Cloud Hand-Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover.<\/em>
in: Sensors 2021, 21(16), 5676 DOI: 10.3390\/s21165676<\/a><\/p>\n\n\n\n
2020<\/strong><\/p>\n\n\n\n
A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots.<\/em>
in: Sensors, vol. 20 (2020) 3, 722, 18 pages, DOI: 10.3390\/s20030722<\/a><\/p>\n\n\n\n
3D high-resolution multimodal imaging system for real-time applications.<\/em>
in: Dimensional Optical Metrology and Inspection for Practical Applications IX. Vol. 11397. International Society for Optics and Photonics, 2020. DOI: 10.1117\/12.2558413<\/a><\/p>\n\n\n\n
6D Object Pose Estimation Algorithm Using Preprocessing of Segmentation and Keypoint Extraction.<\/em>
in: IEEE I2MTC Conference, Dubrovnik, 2020 DOI: 10.1109\/I2MTC43012.2020.9128980<\/a><\/p>\n\n\n\n
A Multi Modal People Tracker for Real Time Human Robot Interaction.<\/em>
in: IEEE Int. Symp. on Robot and Human Interactive Communication (RO-MAN), New Delhi, India, 8 pages, IEEE 2019 <\/a> ![\"\"](\"https:\/\/www.sonaro-projekt.de\/wp-content\/uploads\/2022\/09\/pdficon.gif\")
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Efficient 3D object tracking approach based on convolutional neural network and Monte Carlo algorithms used for a pick and place robot.<\/em>
in: SPIE IMEKO Conference, Jena, 2019.<\/p>\n\n\n\n
Efficient 3D object tracking approach based on convolutional neural network and Monte Carlo algorithms used for a pick and place robot.<\/em>
in: Photonics and Education in Measurement Science 2019. Vol. 11144. International Society for Optics and Photonics, 2019. DOI: 10.1117\/12.2530333<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"