Zobrazeno 1 - 10
of 214
pro vyhledávání: '"H.-H. Nagel"'
Autor:
R. Gerber, H. H. Nagel
Publikováno v:
Artificial Intelligence
Our 3D-model-based Computer Vision subsystem extracts vehicle trajectories from monocular digitized videos recording road vehicles in inner-city traffic. Steps are documented which import these quantitative geometrical results into a conceptual repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e51514abd6b5b3f3ac294b512ccffdc
https://doi.org/10.1016/j.artint.2007.07.001
https://doi.org/10.1016/j.artint.2007.07.001
Autor:
F. Heimes, H.-H. Nagel
Publikováno v:
Engineering Applications of Artificial Intelligence. 11:215-227
The tracking of inner-city intersections under realistic conditions, i.e. dense traffic, increases the number of artefacts, like occluded or distorted objects, compared to the tracking of free country roads or highways. This requires the best possibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b8b575da7817eda5b4a0f5b0de2c80
https://doi.org/10.1016/s0952-1976(97)00077-8
https://doi.org/10.1016/s0952-1976(97)00077-8
Autor:
H. I. Christensen, H. -H. Nagel
Publikováno v:
Cognitive Vision Systems ISBN: 9783540339717
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6732b83e5c87c26ada7a8a0941593ac3
https://doi.org/10.1007/11414353_1
https://doi.org/10.1007/11414353_1
Publikováno v:
Intelligent Vehicle Symposium, 2002. IEEE.
The complexity of inner city traffic areas presents a considerable challenge for driver support based on machine vision. This is due to a generally high density of different objects in the scene, sharing varying spatio-temporal relations, as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e38e27b274c75dc3e129e4ca6d9d36b
https://doi.org/10.1109/ivs.2002.1187996
https://doi.org/10.1109/ivs.2002.1187996
Autor:
H.-H. Nagel
Publikováno v:
Proceedings Integration of Speech and Image Understanding.
Temporal developments within a scene can be recorded by a video camera in the form of spatio-temporal grayvalue variations. The digitization and subsequent algorithmic evaluation of the resulting video sequence transforms, as a first step, the origin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8077d9fce704c6f8b7c3ac17238fada
https://doi.org/10.1109/isiu.1999.824862
https://doi.org/10.1109/isiu.1999.824862
Publikováno v:
ICRA
In order to automatically run a dismantling task, first a workpiece has to be recognized and its pose has to be estimated. This step is solved by a model-based recognition process using the information from three stationary cameras. Our workpiece mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb30c509779fd4faedf2a18972a0004f
https://doi.org/10.1109/robot.1996.506889
https://doi.org/10.1109/robot.1996.506889
Publikováno v:
Proceedings 1998 IEEE Workshop on Visual Surveillance.
A system for model-based tracking of road vehicles in digitized video sequences of traffic scenes has been generalized to handle "truck-and-trailer"-configurations. Whereas, previously, each vehicle had been modeled as a single rigid polyhedron, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2cda3ac9091843bc5c4d6c83f2db7a4
https://doi.org/10.1109/wvs.1998.646022
https://doi.org/10.1109/wvs.1998.646022
Publikováno v:
IROS
This contribution presents a position-based approach to visual servoing that allows the manipulation of quasi- or nonpolyhedral objects in a complex scene, namely the engine compartment of a used car. During a manipulation, the moving disassembly rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42fbfacfadd000117526a743e1e7fc9f
https://doi.org/10.1109/iros.1997.648987
https://doi.org/10.1109/iros.1997.648987
Publikováno v:
Proceedings of the Intelligent Vehicles '95. Symposium.
In the course of tracking moving vehicles in image sequences recorded by a stationary camera at complex inner-city road intersections, it has turned out to be advantageous to automatically recognize the lane structure of the recorded intersection. Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f726f5fc032eba5d4ad305c6c0b2f9ac
https://doi.org/10.1109/ivs.1995.528334
https://doi.org/10.1109/ivs.1995.528334