Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dennis Ludl"'
Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:3990-3999
Recognizing human actions, reliably inferring their meaning and being able to potentially exchange mutual social information are core challenges for autonomous systems when they directly share the same space with humans. Intelligent transport systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9e3426c63c8dbde924ae82dd409739
https://doi.org/10.1109/tits.2020.2988504
https://doi.org/10.1109/tits.2020.2988504
Publikováno v:
3DV
Learning-based vision tasks are usually specialized on the sensor technology for which data has been labeled. The knowledge of a learned model is simply useless when it comes to data which differs from the data on which the model has been initially t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6031870ee38a626ac275e1cd8bb1d181
https://doi.org/10.1109/3dv.2019.00080
https://doi.org/10.1109/3dv.2019.00080
Publikováno v:
ICRA
It is necessary to employ smart sensory systems in dynamic and mobile workspaces where industrial robots are mounted on mobile platforms. Such systems should be aware of flexible and non-stationary workspaces and able to react autonomously to changin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df08e08f21aca76d210060cdcc6c6cba
https://doi.org/10.1109/icra.2019.8793900
https://doi.org/10.1109/icra.2019.8793900
Publikováno v:
ITSC
Recognizing human actions is a core challenge for autonomous systems as they directly share the same space with humans. Systems must be able to recognize and assess human actions in real-time. In order to train corresponding data-driven algorithms, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b544ce6c2b0454446f9c9e58a86a8aa
http://arxiv.org/abs/1904.09140
http://arxiv.org/abs/1904.09140
Publikováno v:
ITSC
Recognizing actions of humans, reliably inferring their meaning and being able to potentially exchange mutual social information are core challenges for autonomous systems when they directly share the same space with humans. Today's technical percept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0feb21b85ca6bf763916dbd5a7ea70a6
https://doi.org/10.1109/itsc.2018.8569489
https://doi.org/10.1109/itsc.2018.8569489
Publikováno v:
CASE
As production workspaces become more mobile and dynamic it becomes increasingly important to reliably monitor the overall state of the environment. Therein manipulators or other robotic systems likely have to be able to act autonomously together with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43b25b2abef798c212afd6b891b85727
https://doi.org/10.1109/coase.2018.8560564
https://doi.org/10.1109/coase.2018.8560564