Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Jörg Stückler"'
Publikováno v:
Frontiers in Robotics and AI, Vol 3 (2016)
Cognitive service robots that shall assist persons in need in performing their activities of daily living have recently received much attention in robotics research.Such robots require a vast set of control and perception capabilities to provide usef
Externí odkaz:
https://doaj.org/article/fdd1e9132c7f476dac04bf9c574377cf
Autor:
Michael Strecke, Jörg Stückler
Publikováno v:
CVPR
Dynamic scene understanding is an essential capability in robotics and VR/AR. In this paper we propose Co-Section, an optimization-based approach to 3D dynamic scene reconstruction, which infers hidden shape information from intersection constraints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82cb27bb50bf3af5515f8090da4aa50
http://arxiv.org/abs/2004.04630
http://arxiv.org/abs/2004.04630
Publikováno v:
Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users ISBN: 9783030345068
EuRoC
EuRoC
A large amount of buildings and structures in Europe’s industry and infrastructure require regular inspection and maintenance. Inspection nowadays often is a costly and time-consuming process. Inspection teams need to climb through the structures,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abf4a61aa90b31a1322f4c19db0f89bd
https://doi.org/10.1007/978-3-030-34507-5_8
https://doi.org/10.1007/978-3-030-34507-5_8
Publikováno v:
IEEE Robotics and Automation Letters. 3:3693-3700
We propose a novel real-time direct monocular visual odometry for omnidirectional cameras. Our method extends direct sparse odometry (DSO) by using the unified omnidirectional model as a projection function, which can be applied to fisheye cameras wi
Publikováno v:
ICRA
Scene understanding from images is a challenging problem encountered in autonomous driving. On the object level, while 2D methods have gradually evolved from computing simple bounding boxes to delivering finer grained results like instance segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9a4f0dd5790e16a519610391421366f
http://arxiv.org/abs/1904.10097
http://arxiv.org/abs/1904.10097
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030336752
GCPR
GCPR
Physical scene understanding is a fundamental human ability. Empowering artificial systems with such understanding is an important step towards flexible and adaptive behavior in the real world. As a step in this direction, we propose a novel approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::854b9b47a833353c151e20aeac1bae43
https://doi.org/10.1007/978-3-030-33676-9_42
https://doi.org/10.1007/978-3-030-33676-9_42
Publikováno v:
IROS
Visual odometry and SLAM methods have a large variety of applications in domains such as augmented reality or robotics. Complementing vision sensors with inertial measurements tremendously improves tracking accuracy and robustness, and thus has spawn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bd05fd447d47177c822145c3795720b
http://arxiv.org/abs/1804.06120
http://arxiv.org/abs/1804.06120
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012366
ECCV (8)
ECCV (8)
Monocular visual odometry approaches that purely rely on geometric cues are prone to scale drift and require sufficient motion parallax in successive frames for motion estimation and 3D reconstruction. In this paper, we propose to leverage deep monoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ba3fed94f9234801fa9dbe9691419ea
https://doi.org/10.1007/978-3-030-01237-3_50
https://doi.org/10.1007/978-3-030-01237-3_50
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012366
Neglecting the effects of rolling-shutter cameras for visual odometry (VO) severely degrades accuracy and robustness. In this paper, we propose a novel direct monocular VO method that incorporates a rolling-shutter model. Our approach extends direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::054537dd29b01efc27f7cd7e27c3d0f6
https://doi.org/10.1007/978-3-030-01237-3_42
https://doi.org/10.1007/978-3-030-01237-3_42
Publikováno v:
Journal of Field Robotics. 33:411-430
Fully autonomous exploration and mobile manipulation in rough terrain are still beyond the state of the art-robotics challenges and competitions are held to facilitate and benchmark research in this direction. One example is the 2013 DLR SpaceBot Cup