Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Darius Burschka"'
Publikováno v:
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5cb05ad1e83b2b2394608d3342966b7
https://doi.org/10.1109/humanoids53995.2022.10000184
https://doi.org/10.1109/humanoids53995.2022.10000184
Supervised learning depth estimation methods can achieve good performance when trained on high-quality ground-truth, like LiDAR data. However, LiDAR can only generate sparse 3D maps which causes losing information. Obtaining high-quality ground-truth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc7b93de620406a094fdc612a519febd
http://arxiv.org/abs/2207.06351
http://arxiv.org/abs/2207.06351
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7903d11dcd9d92c95f4c7a1066315af
https://doi.org/10.1109/icra46639.2022.9812176
https://doi.org/10.1109/icra46639.2022.9812176
Autor:
Hao Xing, Darius Burschka
Human activities recognition is an important task for an intelligent robot, especially in the field of human-robot collaboration, it requires not only the label of sub-activities but also the temporal structure of the activity. In order to automatica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::6eeead1b0d473b18c0d409ac013d5feb
https://mediatum.ub.tum.de/doc/1662979/document.pdf
https://mediatum.ub.tum.de/doc/1662979/document.pdf
Autor:
Mario Trobinger, Andrei Costinescu, Hao Xing, Jean Elsner, Tingli Hu, Abdeldjallil Naceri, Luis Figueredo, Elisabeth Jensen, Darius Burschka, Sami Haddadin
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f21e2315c99beda07f85fa8b2cea287d
https://doi.org/10.1109/iros51168.2021.9636626
https://doi.org/10.1109/iros51168.2021.9636626
Publikováno v:
ITSC
One of the most common traffic scenario when navigating in urban area is the traffic junction. Crossing a traffic junction is not trivial for an autonomous vehicle as it needs to perform both scene understanding and decision making tasks. In this wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b9e58e23ead829aaf0a08fd259c7b5f
https://doi.org/10.1109/itsc48978.2021.9564891
https://doi.org/10.1109/itsc48978.2021.9564891
This paper propose a novel dictionary learning approach to detect event action using skeletal information extracted from RGBD video. The event action is represented as several latent atoms and composed of latent spatial and temporal attributes. We pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d843a97ba8d6471ca099d3435f2c29a
http://arxiv.org/abs/2109.02376
http://arxiv.org/abs/2109.02376
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Autonomous vehicles need to be able to perceive both the presence and motion of objects in the surrounding environment to navigate in the real world. In this work, we propose to solve the tasks of identifying objects and estimating the corresponding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5291c9b2a0672d6f4df2bf242b23f41a
https://doi.org/10.1109/iv48863.2021.9575471
https://doi.org/10.1109/iv48863.2021.9575471
Autor:
Peter Gawronski, Darius Burschka
Publikováno v:
ICPR
We propose a framework to analyze and predict vehicles behavior within shared road segments like intersections or at narrow passages. The system first identifies critical interaction regions based on topological knowledge. It then checks possible col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e61e7832ee0ef1d94804d7689fa978a
https://doi.org/10.1109/icpr48806.2021.9412657
https://doi.org/10.1109/icpr48806.2021.9412657