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pro vyhledávání: '"K-D Kuhnert"'
Akademický článek
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Autor:
K.-D. Kuhnert, L. Kuhnert
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W2, Pp 235-240 (2013)
The paper describes a new sensor package for micro or mini UAVs and one application that has been successfully implemented with this sensor package. It is intended for 3D measurement of landscape or large outdoor structures for mapping or monitoring
Externí odkaz:
https://doaj.org/article/4b61f20ca4be4b42b7bb2549a35f9715
Autor:
M. Langer, K.-D. Kuhnert
Publikováno v:
Computer Vision
The detection of robust image features of high distinctiveness forms a ubiquitous problem in digital image processing. Robust image features are the first step and the key to reliably detect patterns or objects in images, which subsequently leads to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac51a012c6a2722de964a1becac2e9f9
http://www.intechopen.com/articles/show/title/new_hierarchical_approaches_in_real-time_robust_image_feature_detection_and_matching
http://www.intechopen.com/articles/show/title/new_hierarchical_approaches_in_real-time_robust_image_feature_detection_and_matching
Autor:
L. Kuhnert, K.-D. Kuhnert
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W2, Pp 235-240 (2013)
The paper describes a new sensor package for micro or mini UAVs and one application that has been successfully implemented with this sensor package. It is intended for 3D measurement of landscape or large outdoor structures for mapping or monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7be420ee5eb2d213cf4a5c3bdf37c0f6
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/235/2013/isprsarchives-XL-1-W2-235-2013.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W2/235/2013/isprsarchives-XL-1-W2-235-2013.pdf
Autor:
Wenjie Dong, K.-D. Kuhnert
Publikováno v:
IEEE Transactions on Robotics. 21:261-266
This paper considers the tracking-control problem of a nonholonomic wheeled mobile robot with both parameter and nonparameter uncertainties. A robust adaptive controller is proposed with the aid of the adaptive backstepping technique and the learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::845a6468c9482d7143095f779e14d12a
https://doi.org/10.1109/tro.2004.837236
https://doi.org/10.1109/tro.2004.837236
Publikováno v:
2011 IEEE International Conference on Computer Science and Automation Engineering.
One of the main challenges for autonomous navigation is to determine which obstacles can be driven over and which need to be avoided. The investigation of reconstructing 3D model of the viewed scene has showed good performance in environments such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d474a2e995799a4e76bdf9c19bcf870b
https://doi.org/10.1109/csae.2011.5952752
https://doi.org/10.1109/csae.2011.5952752
Publikováno v:
2011 IEEE International Conference on Computer Science and Automation Engineering.
In order to adjust the exposure of high resolution and frequency images from an on-board camera in real time, a simple exposure control approach based on luminance histogram analysis is presented to realize light control precisely and rapidly. The al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fdde81bb9398e06526285f1bae48562
https://doi.org/10.1109/csae.2011.5952672
https://doi.org/10.1109/csae.2011.5952672
Publikováno v:
2011 IEEE International Conference on Industrial Technology.
Recently, there are many autonomous navigation applications done in outdoor environment. However, safe navigation is still a daunting challenge in terrain containing vegetation. Thus, a study on vegetation detection for outdoor automobile navigation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c2ea41060b8f615c53fd5e06e9716e
https://doi.org/10.1109/icit.2011.5754402
https://doi.org/10.1109/icit.2011.5754402
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
International Journal of Intelligent Systems Technologies and Applications. 5:304
This paper presents a novel approach for object classification and pose estimation which employs spherical light field rendering to generate virtual views based on the synthesis parameters determined and successively refined in a two-stage analysis b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2574427be290c73ea455376019c26a13
https://doi.org/10.1504/ijista.2008.021293
https://doi.org/10.1504/ijista.2008.021293