Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Bernd Kitt"'
Publikováno v:
Intelligent Vehicles Symposium
Place recognition for loop closure detection lies at the heart of every Simultaneous Localization and Mapping (SLAM) method. Recently methods that use cameras and describe the entire image by one holistic feature vector have experienced a resurgence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64edaece9558ae0c2b1e3b9fec965722
https://doi.org/10.1109/ivs.2013.6629483
https://doi.org/10.1109/ivs.2013.6629483
Autor:
Bernd Kitt, Henning Lategahn
Publikováno v:
ITSC
Motion is an important clue for many tasks in visual scene perception. In this paper, we present a new matching-based algorithm to estimate nearly dense optical flow fields for the static parts of the scene, i.e. those parts whose motion is induced b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7424bfd75c858e7fbfaa5d61b0bc4f5e
https://doi.org/10.1109/itsc.2012.6338661
https://doi.org/10.1109/itsc.2012.6338661
Publikováno v:
Intelligent Vehicles Symposium
State of the art visual odometry systems use bundle adjustment (BA) like methods to jointly optimize motion and scene structure. Fusing measurements from multiple time steps and optimizing an error criterion in a batch fashion seems to deliver the mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4142d6d47639562824337a61324dc9bd
https://doi.org/10.1109/ivs.2012.6232235
https://doi.org/10.1109/ivs.2012.6232235
Publikováno v:
Intelligent Vehicles Symposium
Many advanced driver assistance systems (ADAS) and autonomous vehicles require 3D information available from (stereo) camera systems. The corresponding task of estimating disparity or optical flow is computationally demanding, so meeting real-time up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5452039776640509ea79a3d87b0d539
https://doi.org/10.1109/ivs.2011.5940521
https://doi.org/10.1109/ivs.2011.5940521
Publikováno v:
Intelligent Vehicles Symposium
Next generation driver assistance systems demand a precise perception of the vicinity of the vehicle. Sensor readings are usually harnessed to gain knowledge of all moving and stationary obstacles. Commonly two paradigms are followed. Stationary envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dbc335f3da6051798c97838fe876d9f
https://doi.org/10.1109/ivs.2011.5940450
https://doi.org/10.1109/ivs.2011.5940450
Publikováno v:
ICRA
Simultaneous Localization and Mapping (SLAM) and Visual SLAM (V-SLAM) in particular have been an active area of research lately. In V-SLAM the main focus is most often laid on the localization part of the problem allowing for a drift free motion esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa4ea558c9d0a368f33ef1a726105aee
https://doi.org/10.1109/icra.2011.5979711
https://doi.org/10.1109/icra.2011.5979711
Publikováno v:
IROS
Visually estimating a robot's own motion has been an active field of research within the last years. Though impressive results have been reported, some application areas still exhibit huge challenges. Especially for car-like robots in urban environme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52332db1aa020954c94f6f508c3d0ebd
https://doi.org/10.1109/iros.2010.5650517
https://doi.org/10.1109/iros.2010.5650517
Publikováno v:
ITSC
In this paper we propose an approach for dynamic scene perception from a moving vehicle equipped with a stereo camera rig. The approach is solely based on visual information, hence it is applicable to a large class of autonomous robots working in ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4840b6b048a3cf37f6ad42d783c6e3c2
https://doi.org/10.1109/itsc.2010.5625265
https://doi.org/10.1109/itsc.2010.5625265
Publikováno v:
ITSC
In this paper we propose a new block-matching based approach for the estimation of nearly dense optical flow fields in image sequences. We focus on applications to autonomous vehicles where a dominant movement of the camera along its optical axis is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::868dc51d0534f2b8bbe94068a01c1d58
https://doi.org/10.1109/itsc.2010.5625181
https://doi.org/10.1109/itsc.2010.5625181
Publikováno v:
Intelligent Vehicles Symposium
We present a complete processing chain for computing 2D occupancy grids from image sequences. A multi layer grid is introduced which serves several purposes. First the 3D points reconstructed from the images are distributed onto the underlying grid.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2633de5181489fefa4eb0afaa1533a9
https://doi.org/10.1109/ivs.2010.5548078
https://doi.org/10.1109/ivs.2010.5548078