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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pudics, G. Szabo-Resch, M.Z. Vamossy, Z. |
| Copyright Year | 2015 |
| Description | Author affiliation: John von Neumann Fac. of Inf., Obuda Univ., Budapest, Hungary (Pudics, G.; Szabo-Resch, M.Z.; Vamossy, Z.) |
| Abstract | The paper presents a safe robot navigation system based on omnidirectional vision. The 360 degree camera images are analyzed for obstacle detection and avoidance and of course for navigating safely in the given indoor environment. This module can process images in real time and extracts the direction and distance information of the obstacles from the camera system mounted on the robot. This two data is the output of the module. Because of the distortions of the omnidirectional vision, it is necessary to calibrate the camera and not only for that but also to get the right direction and distances information. Several image processing methods and technics were used which are investigated in the rest of this paper. |
| Starting Page | 227 |
| Ending Page | 231 |
| File Size | 1653480 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781467385206 |
| DOI | 10.1109/CINTI.2015.7382928 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-11-19 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Computer vision Navigation Robot vision systems Cameras Floors |
| Content Type | Text |
| Resource Type | Article |
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