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pro vyhledávání: '"Brommer, Christian"'
Autor:
Jantos, Thomas, Scheiber, Martin, Brommer, Christian, Allak, Eren, Weiss, Stephan, Steinbrener, Jan
Object-relative mobile robot navigation is essential for a variety of tasks, e.g. autonomous critical infrastructure inspection, but requires the capability to extract semantic information about the objects of interest from raw sensory data. While de
Externí odkaz:
http://arxiv.org/abs/2410.05996
In this work, we explore the recent advances in equivariant filtering for inertial navigation systems to improve state estimation for uncrewed aerial vehicles (UAVs). Traditional state-of-the-art estimation methods, e.g., the multiplicative Kalman fi
Externí odkaz:
http://arxiv.org/abs/2310.10597
The capability to extract task specific, semantic information from raw sensory data is a crucial requirement for many applications of mobile robotics. Autonomous inspection of critical infrastructure with Unmanned Aerial Vehicles (UAVs), for example,
Externí odkaz:
http://arxiv.org/abs/2303.00371
Autor:
Brommer, Christian, Fornasier, Alessandro, Scheiber, Martin, Delaune, Jeff, Brockers, Roland, Steinbrener, Jan, Weiss, Stephan
For real-world applications, autonomous mobile robotic platforms must be capable of navigating safely in a multitude of different and dynamic environments with accurate and robust localization being a key prerequisite. To support further research in
Externí odkaz:
http://arxiv.org/abs/2210.09114
Autor:
Fornasier, Alessandro, Ng, Yonhon, Brommer, Christian, Böhm, Christoph, Mahony, Robert, Weiss, Stephan
Stochastic filters for on-line state estimation are a core technology for autonomous systems. The performance of such filters is one of the key limiting factors to a system's capability. Both asymptotic behavior (e.g.,~for regular operation) and tran
Externí odkaz:
http://arxiv.org/abs/2209.12038
Autor:
Malyuta, Danylo, Brommer, Christian, Hentzen, Daniel, Stastny, Thomas, Siegwart, Roland, Brockers, Roland
Publikováno v:
J Field Robotics (2019) 1-21
Recent applications of unmanned aerial systems (UAS) to precision agriculture have shown increased ease and efficiency in data collection at precise remote locations. However, further enhancement of the field requires operation over long periods of t
Externí odkaz:
http://arxiv.org/abs/1908.06381
Many unmanned aerial vehicle surveillance and monitoring applications require observations at precise locations over long periods of time, ideally days or weeks at a time (e.g. ecosystem monitoring), which has been impractical due to limited enduranc
Externí odkaz:
http://arxiv.org/abs/1810.05683
Autor:
Brommer, Christian1 (AUTHOR) christian.brommer@ieee.org, Fornasier, Alessandro1 (AUTHOR), Scheiber, Martin1 (AUTHOR), Delaune, Jeff2 (AUTHOR), Brockers, Roland2 (AUTHOR), Steinbrener, Jan1 (AUTHOR), Weiss, Stephan1 (AUTHOR)
Publikováno v:
International Journal of Robotics Research. Jul2024, Vol. 43 Issue 8, p1083-1113. 31p.
Autor:
Scheiber, Martin, Cardaillac, Alexandre, Brommer, Christian, Weiss, Stephan, Ludvigsen, Martin
Publikováno v:
OCEANS 2022, Hampton Roads
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc46ddcb1df71c5587e551ed5f1628b
https://doi.org/10.1109/oceans47191.2022.9977298
https://doi.org/10.1109/oceans47191.2022.9977298
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