Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Simon Lynen"'
Autor:
Michael Bosse, Simon Lynen, Dror Aiger, Marc Pollefeys, Torsten Sattler, Roland Siegwart, Bernhard Zeisl, Joel A. Hesch
Publikováno v:
The International Journal of Robotics Research. 39:1061-1084
The overarching goals in image-based localization are scale, robustness, and speed. In recent years, approaches based on local features and sparse 3D point-cloud models have both dominated the benchmarks and seen successful real-world deployment. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72add93f56db19051f655e5c29864f0e
https://doi.org/10.1177/0278364920931151
https://doi.org/10.1177/0278364920931151
Autor:
Jacek Komorowski, Grzegorz Kurzejamski, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski, Lukasz Dabala
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
ACIVS
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes. Traditional methods, based on nearest neighbour search in the feature descriptor space, perform poorly when envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e463228e98b0fa3c13c56e8acc7238d8
https://doi.org/10.1007/978-3-030-40605-9_42
https://doi.org/10.1007/978-3-030-40605-9_42
Autor:
Lukasz Dabala, Konrad Czarnota, Jacek Komorowski, Simon Lynen, Grzegorz Kurzejamski, Tomasz Trzcinski
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110086
ECCV Workshops (1)
ECCV Workshops (1)
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching. Although their local character makes image matching processes more robust to occlusions, it often leads to geometrically inconsi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55485552b4e4d0dc9230933f1e816de
https://doi.org/10.1007/978-3-030-11009-3_24
https://doi.org/10.1007/978-3-030-11009-3_24
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110208
ECCV Workshops (5)
ECCV Workshops (5)
In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed. However there’s a lack of a standard benchmark to evaluate suitability of these novel keypoint detectors f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c83977729317773f1e6e2feab4d8c65
https://doi.org/10.1007/978-3-030-11021-5_45
https://doi.org/10.1007/978-3-030-11021-5_45
Publikováno v:
International Journal of Computer Vision. 124:49-64
Place recognition is a core competency for any visual simultaneous localization and mapping system. Identifying previously visited places enables the creation of globally accurate maps, robust relocalization, and multi-user mapping. To match one plac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bfcc22b2cc8c3cb180faadd839f844a
https://doi.org/10.1007/s11263-016-0947-9
https://doi.org/10.1007/s11263-016-0947-9
Autor:
Antonio Loquercio, Roland Siegwart, Bernhard Zeisl, Igor Gilitschenski, Simon Lynen, Marcin Dymczyk
Publikováno v:
ICRA
Many robotics and Augmented Reality (AR) systems that use sparse keypoint-based visual maps operate in large and highly repetitive environments, where pose tracking and localization are challenging tasks. Additionally, these systems usually face furt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7107f4f920c54155627739c8b131ff1b
https://doi.org/10.1109/icra.2017.7989359
https://doi.org/10.1109/icra.2017.7989359
Autor:
Petri Tanskanen, Friedrich Fraundorfer, Laurent Kneip, Lorenz Meier, Alessandro Renzaglia, Roland Siegwart, Markus W. Achtelik, Gim Hee Lee, Lionel Heng, Elias B. Kosmatopoulos, Margarita Chli, Chiara Troiani, Jan Stumpf, Savvas A. Chatzichristofis, Agostino Martinelli, Marc Pollefeys, Davide Scaramuzza, Lefteris Doitsidis, Daniel Gurdan, Michael Achtelik, Stephan Weiss, Simon Lynen
Publikováno v:
IEEE Robotics & Automation Magazine. 21:26-40
Autonomous microhelicopters will soon play a major role in tasks like search and rescue, environment monitoring, security surveillance, and inspection. If they are further realized in small scale, they can also be used in narrow outdoor and indoor en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4d6b80a940ed3da8340fb6123f51a0e
https://doi.org/10.1109/mra.2014.2322295
https://doi.org/10.1109/mra.2014.2322295
Publikováno v:
Journal of Field Robotics. 31:676-698
Localization and state estimation are reaching a certain maturity in mobile robotics, often providing both a precise robot pose estimate at a point in time and the corresponding uncertainty. In the bid to increase the robots' autonomy, the community
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40f1c09209e1cdc3f0a33e0ca2cbfecc
https://doi.org/10.1002/rob.21522
https://doi.org/10.1002/rob.21522
Autor:
Simon Lynen, Stephan Weiss, Margarita Chli, Michael Achtelik, Markus W. Achtelik, Roland Siegwart, Laurent Kneip
Publikováno v:
Journal of Field Robotics. 30:803-831
The recent technological advances in Micro Aerial Vehicles (MAVs) have triggered great interest in the robotics community, as their deployability in missions of surveillance and reconnaissance has now become a realistic prospect. The state of the art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee957dc849d47dd84bebf18d40842e22
https://doi.org/10.1002/rob.21466
https://doi.org/10.1002/rob.21466
Publikováno v:
IFAC Proceedings Volumes. 46:251-256
This paper presents a state estimation framework that allows estimating the attitude, full metric speed and the orthogonal metric distance of an IMU-camera system with respect to a plane. The filter relies on optical flow- as well as gyroscope and ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1169be058ce1ed15967a19640eb307aa
https://doi.org/10.3182/20131120-3-fr-4045.00044
https://doi.org/10.3182/20131120-3-fr-4045.00044