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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Taylor, G.R. Kleeman, L. Wernersson, A. |
| Copyright Year | 2002 |
| Description | Author affiliation: Intelligent Robotics Res. Centre, Monash Univ., Clayton, Vic., Australia (Taylor, G.R.; Kleeman, L.) |
| Abstract | This paper presents an integrated, low-level approach to removing sensor noise, cross talk, spurious specular reflections, and solving the association problem in a light stripe scanner. Most single-camera scanners rely on the laser brightness exceeding that of the entire image. Our system uses two cameras to measure the stripe and combines the knowledge of the light plane orientation to produce useful validation properties. The key result is the development of a condition relating image plane measurements and camera intrinsic parameters, which allows validation/association to be performed independently of 3D reconstruction. The same equations are used to improve ranging accuracy compared to single-camera systems. We also show how the system may be self-calibrated using measurements of an arbitrary nonplanar target. As validation allows the operation in ambient light, the registered colour and range are captured in the same sensor. An experimental scanner demonstrates the effectiveness of the proposed techniques. |
| Sponsorship | IEEE Robotics & Autom. Soc. IEEE Ind. Electron. Soc. Robotics Soc. Japan Soc. Instrum. & Control Eng. INRIA Rhone-Alpes Grenoble EPFL Lausanne |
| Starting Page | 86 |
| Ending Page | 91 |
| File Size | 561931 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780373987 |
| DOI | 10.1109/IRDS.2002.1041367 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-09-30 |
| Publisher Place | Switzerland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Cameras Noise robustness Colored noise Optical reflection Acoustic reflection Laser noise Brightness Performance evaluation Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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