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pro vyhledávání: '"Vaskevicius, Narunas"'
Current approaches for 3D scene graph prediction rely on labeled datasets to train models for a fixed set of known object classes and relationship categories. We present Open3DSG, an alternative approach to learn 3D scene graph prediction in an open
Externí odkaz:
http://arxiv.org/abs/2402.12259
D scene graphs are an emerging 3D scene representation, that models both the objects present in the scene as well as their relationships. However, learning 3D scene graphs is a challenging task because it requires not only object labels but also rela
Externí odkaz:
http://arxiv.org/abs/2310.16494
In the field of 3D scene understanding, 3D scene graphs have emerged as a new scene representation that combines geometric and semantic information about objects and their relationships. However, learning semantic 3D scene graphs in a fully supervise
Externí odkaz:
http://arxiv.org/abs/2309.15702
We investigate the task of object goal navigation in unknown environments where the target is specified by a semantic label (e.g. find a couch). Such a navigation task is especially challenging as it requires understanding of semantic context in dive
Externí odkaz:
http://arxiv.org/abs/2210.08952
Advances in sensing and learning algorithms have led to increasingly mature solutions for human detection by robots, particularly in selected use-cases such as pedestrian detection for self-driving cars or close-range person detection in consumer set
Externí odkaz:
http://arxiv.org/abs/2108.01495
Autor:
Sundermeyer, Martin, Durner, Maximilian, Puang, En Yen, Marton, Zoltan-Csaba, Vaskevicius, Narunas, Arras, Kai O., Triebel, Rudolph
We introduce a scalable approach for object pose estimation trained on simulated RGB views of multiple 3D models together. We learn an encoding of object views that does not only describe an implicit orientation of all objects seen during training, b
Externí odkaz:
http://arxiv.org/abs/1908.00151
Autor:
Winkler, Jan, Balint-Benczedi, Ferenc, Wiedemeyer, Thiemo, Beetz, Michael, Vaskevicius, Narunas, Mueller, Christian A., Fromm, Tobias, Birk, Andreas
Publikováno v:
International Conference on Autonomous Agents and Multiagent Systems, 2016
Autonomous robots in unstructured and dynamically changing retail environments have to master complex perception, knowledgeprocessing, and manipulation tasks. To enable them to act competently, we propose a framework based on three core components: (
Externí odkaz:
http://arxiv.org/abs/1605.04177
Publikováno v:
In Robotics and Autonomous Systems April 2015 66:1-17
Akademický článek
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Autor:
Vaskevicius, Narunas1, Birk, Andreas1 a.birk@jacobs-university.de, Pathak, Kaustubh1, Schwertfeger, Sören1
Publikováno v:
Advanced Robotics. 2010, Vol. 24 Issue 8/9, p1169-1197. 29p. 1 Color Photograph, 9 Black and White Photographs, 2 Diagrams, 10 Charts, 4 Graphs.