Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Patrick Pfreundschuh"'
Autor:
Marco Tranzatto, Mihir Kulkarni, Victor Reijgwart, Benoit Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Mihir Dharmadhikari, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matias Mattamala, Markus Montenegro, Konrad Meyer, Lukas Bernreiter, Xiangyu Wu, Adrien Briod, Mark Mueller, Maurice Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann
Publikováno v:
Web of Science
This article presents the CERBERUS robotic system-of-systems, which won the DARPA Subterranean Challenge Final Event in 2021. The Subterranean Challenge was organized by DARPA with the vision to facilitate the novel technologies necessary to reliably
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66c702eb37fa951ae6621a93f0b98aba
http://arxiv.org/abs/2207.04914
http://arxiv.org/abs/2207.04914
Autor:
Hubertus Franciscus Cornelis Hendrikx, Renaud Dubé, Victor Reijgwart, Roland Siegwart, Patrick Pfreundschuh, Andrei Cramariuc
Publikováno v:
ICRA
Highly dynamic environments, with moving objects such as cars or humans, can pose a performance challenge for LiDAR SLAM systems that assume largely static scenes. To overcome this challenge and support the deployment of robots in real world scenario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c987ecebac1aa5f94ff8660e3895ac2
https://doi.org/10.1109/icra48506.2021.9560730
https://doi.org/10.1109/icra48506.2021.9560730
Autor:
Patrick Pfreundschuh, Lukas Schaupp, Mathias Bürki, Roland Siegwart, Cesar Cadena, Juan Nieto
Publikováno v:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IROS
IROS
Visually poor scenarios are one of the main sources of failure in visual localization systems in outdoor environments. To address this challenge, we present MOZARD, a multi-modal localization system for urban outdoor environments using vision and LiD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f8cfb7adf5c768197160646b3952c50
https://hdl.handle.net/20.500.11850/475369
https://hdl.handle.net/20.500.11850/475369