Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Juliane Euler"'
Autor:
Juliane Euler, Oskar von Stryk
Publikováno v:
IFAC-PapersOnLine. 50:15828-15834
For estimating atmospheric dispersion of harmful material, the use of multiple sensor-equipped UAVs for information gathering offers great flexibility, but requires an efficient adaptive sampling strategy that exploits multi-vehicle cooperation. For
Autor:
Juliane Euler, Oskar von Stryk
Publikováno v:
ICRA
This paper presents a sequential optimum design approach for estimating the parameters of an atmospheric dispersion process model based on measurement data gathered by a team of cooperating sensor-equipped UAVs. Locally optimal waypoint sequences tha
Publikováno v:
IFAC Proceedings Volumes. 47:5302-5308
Efficient online state estimation of dynamic dispersion processes plays an important role in a variety of safety-critical applications. The use of mobile sensor platforms is increasingly considered in this context, but implies the generation of situa
Autor:
Lars Baumgärtner, Juliane Euler, Christian Meurisch, Tobias Ritter, Milan Stute, Oskar von Stryk, Bernd Freisleben, Max Mühlhäuser, Matthias Hollick, Stefan Kohlbrecher
Publikováno v:
GHTC
Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are promising assets to support rescue operations in natural or man-made disasters. Most UGVs and UAVs deployed in the field today depend on human operators and reliable network conn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::620a8baf81104bf18fd29df88116f4da
http://tuprints.ulb.tu-darmstadt.de/13328/
http://tuprints.ulb.tu-darmstadt.de/13328/
Publikováno v:
MASS Workshops
Monitoring in large scale environments is a typical mission in cooperative robotics. This task requires the exploration of a huge domain by a generally small number of sensor equipped mobile robots. As time restrictions prohibit an exhaustive global
Publikováno v:
ICCS
Online state and parameter estimation of atmospheric dispersion processes using multiple mobile sensor platforms is a prominent example of Dynamic Data-Driven Application Systems (DDDAS). Based on repeated predictions of a partial differential equati