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Author | Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez | ||||
Title | On-board camera extrinsic parameter estimation | Type | Journal Article | ||
Year | 2006 | Publication | Electronics Letters | Abbreviated Journal | EL |
Volume | 42 | Issue | 13 | Pages | 745–746 |
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Abstract | An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction. | ||||
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Publisher | IEE | Place of Publication | Editor | ||
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Area | Expedition | Conference | |||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ SGD2006a | Serial | 655 | ||
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Author | Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez | ||||
Title | Stereo Vision Camera Pose Estimation for On-Board Applications | Type | Book Chapter | ||
Year | 2007 | Publication | Scene Reconstruction, Pose Estimation and Traking | Abbreviated Journal | |
Volume | Issue | Pages | 39-50 | ||
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Corporate Author | Thesis | ||||
Publisher | Rustam Stolking | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-3-902613-06-6 | Medium | ||
Area | Expedition | Conference | |||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ SGD2007 | Serial | 797 | ||
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Author | Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez | ||||
Title | Real Time Vehicle Pose Using On-Board Stereo Vision System | Type | Conference Article | ||
Year | 2006 | Publication | International Conference on Image Analysis and Recognition | Abbreviated Journal | ICIAR |
Volume | Issue | LNCS 4142 | Pages | 205–216 | |
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Abstract | This paper presents a robust technique for a real time estimation of both camera’s position and orientation—referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,
relative camera’s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented. |
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Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | ADAS | Approved | no | ||
Call Number | ADAS @ adas @ SGD2006b | Serial | 671 | ||
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