Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Alexander Hardt-Stremayr"'
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract Background Artificial intelligence (AI)-powered, robot-assisted, and ultrasound (US)-guided interventional radiology has the potential to increase the efficacy and cost-efficiency of interventional procedures while improving postsurgical out
Externí odkaz:
https://doaj.org/article/fa25b386728d4f689a567f02828b42db
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/d3b7a6b2ee614a699a55511411a6fe7f
Publikováno v:
ICRA
2021 IEEE International Conference on Robotics and Automation (ICRA)
2021 IEEE International Conference on Robotics and Automation (ICRA)
The research community presented significant advances in many different Visual-Inertial Navigation System (VINS) algorithms to localize mobile robots or hand-held devices in a 3D environment. While authors of the algorithms of-ten do compare to, at t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a0d235a59b4ad1cac0388a57776294
https://doi.org/10.1109/icra48506.2021.9561382
https://doi.org/10.1109/icra48506.2021.9561382
Publikováno v:
ICRA
Precise system identification is an important aspect of adequate control design and parameter definition to allow for accurate and reliable navigation. While this is well known in robotics, the community working with small rotorcraft Unmanned Aerial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068e16cfb7e569fa04a6e03a976f08b5
https://doi.org/10.1109/icra48506.2021.9561850
https://doi.org/10.1109/icra48506.2021.9561850
Publikováno v:
ICRA
State of the art visual-inertial odometry approaches suffer from the requirement of high gradients and sufficient visual texture. Even direct photometric approaches select a subset of the image with high-gradient areas and ignore smooth gradients or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a65a997f14742ebf583ddd84ea928f7a
https://doi.org/10.1109/icra40945.2020.9196881
https://doi.org/10.1109/icra40945.2020.9196881
Publikováno v:
ICRA
We propose a fully dense direct filter-based visual-inertial odometry method estimating both pixel depth for all pixels and robot state simultaneously, having all uncertainties in the same state vector. Due to the fully dense method, our approach wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e058628571dfac4e740b8f846eaeaee
https://doi.org/10.1109/icra.2019.8793837
https://doi.org/10.1109/icra.2019.8793837
Publikováno v:
Encyclopedia of Robotics ISBN: 9783642416101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a72077afa7974932c7eeed5f4ad4a529
https://doi.org/10.1007/978-3-642-41610-1_85-1
https://doi.org/10.1007/978-3-642-41610-1_85-1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110116
ECCV Workshops (2)
ECCV Workshops (2)
Vision based algorithms became popular for state estimation and subsequent (local) control of mobile robots. Currently a large variety of such algorithms exists and their performance is often characterized through their drift relative to the total tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d6f1a57a2727c5f4720fb386fd9ad73
https://doi.org/10.1007/978-3-030-11012-3_6
https://doi.org/10.1007/978-3-030-11012-3_6
Publikováno v:
IROS
Many of today's Visual-Inertial Odometry (VIO)frameworks work well under regular motion but have issues and need special treatment under special motion. Here, special does not imply bad or corrupted data but stands for increased difficulty to treat c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a79db6b9c99e74ee33b1e3c55fc2855e
https://doi.org/10.1109/iros.2018.8594170
https://doi.org/10.1109/iros.2018.8594170
Autor:
William D. Nothwang, Alexander Hardt-Stremayr, Daniel Donavanik, Stephan Weiss, Gregory M. Gremillion
Publikováno v:
SPIE Proceedings.
Aggressive flight of micro air vehicles (MAVs) in unstructured, GPS-denied environments poses unique challenges for estimation of vehicle pose and velocity due to the noise, delay, and drift in individual sensor measurements. Maneuvering flight at sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3623d6dceac10e4811b752bfc361264
https://doi.org/10.1117/12.2224162
https://doi.org/10.1117/12.2224162