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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yingping Huang Osgood, T. |
| Copyright Year | 2011 |
| Description | Author affiliation: Warwick Manufacturing Group, University of Warwick, Coventry, UK (Osgood, T.) || School of Optical-Electrical and Computer Engineering, University of Shanghai for Science & Technology, China (Yingping Huang) |
| Abstract | This paper present a novel method to calibrate a sensor fusion system including a camera and a laser scanner. The method employs Nelder-Mead direct search algorithm to minimise the sum of squared errors between the image co-ordinates and the re-projected laser data by iteratively adjusting and improving the calibration parameters. Using 11 well spaced target points observable by each sensor 12 unknown intrinsic and extrinsic calibration parameters can be estimated. Experiments show the method can project the laser points onto the image plane with an average error of 0.52px. |
| Starting Page | 187 |
| Ending Page | 192 |
| File Size | 704602 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457705762 |
| e-ISBN | 9781457705779 |
| DOI | 10.1109/ICVES.2011.5983812 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Laser noise Lasers Nonlinear distortion Measurement by laser beam Cameras sensor fusion Nelder-mead optimisation Calibration laser scanner Mathematical model camera calibration |
| Content Type | Text |
| Resource Type | Article |
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