Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Marius Zöllner"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff00326533e04940c5bef8353cdde039
https://doi.org/10.1007/978-3-031-25072-9_35
https://doi.org/10.1007/978-3-031-25072-9_35
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e6cd8e7b5ace36a2ae0cdf45d3b42d
https://doi.org/10.1007/978-3-031-25072-9_29
https://doi.org/10.1007/978-3-031-25072-9_29
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250552
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf9b72fbb8b720c5e9d2454985c9ddab
https://doi.org/10.1007/978-3-031-25056-9_38
https://doi.org/10.1007/978-3-031-25056-9_38
Publikováno v:
Industrial Robot: An International Journal, 2009, Vol. 36, Issue 4, pp. 377-388.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/01439910910957156
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030980146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::645b1f38adf1f64ff9dbf01610f058fd
https://doi.org/10.1007/978-3-030-98015-3_6
https://doi.org/10.1007/978-3-030-98015-3_6
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811922589
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72671a4695215a07e506647e1e151b46
https://doi.org/10.1007/978-981-19-2259-6_39
https://doi.org/10.1007/978-981-19-2259-6_39
Publikováno v:
International Journal of Computer Vision, 130, 2962–2979
A considerable amount of research is concerned with the generation of realistic sensor data. LiDAR point clouds are generated by complex simulations or learned generative models. The generated data is usually exploited to enable or improve downstream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03e2f56aa660886a8b4915c406c3580
https://publikationen.bibliothek.kit.edu/1000151642/149457063
https://publikationen.bibliothek.kit.edu/1000151642/149457063
Autor:
Florian Keck, Marius Zöllner, Daniel Slieter, Jakob Ketterer, Mathis Brosowsky, Simon T. Isele
Publikováno v:
IV
Deep reinforcement learning has been increasingly discussed for solving continuous control tasks in the field of autonomous driving and driver assistance systems. However, trial-and-error learning and the black-box character of neural networks make i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fa66612b423683211a258731d37f26c
https://doi.org/10.1109/iv48863.2021.9575258
https://doi.org/10.1109/iv48863.2021.9575258
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030926588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7d22ef38ffd481b9c20befbda73efff
https://doi.org/10.1007/978-3-030-92659-5_44
https://doi.org/10.1007/978-3-030-92659-5_44
Publikováno v:
Robotics and Autonomous Systems. 89:123-135
We present a navigation approach for reconfigurable snake-like robots to autonomously overcome unknown and challenging obstacles like stairs or large steps. To calculate convenient motions we use a planning algorithm that takes different optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9330f7261bddc8268dbdeb0dace6b7f
https://doi.org/10.1016/j.robot.2016.11.010
https://doi.org/10.1016/j.robot.2016.11.010