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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Murarka, A. Modayil, J. Kuipers, B. |
| Copyright Year | 2006 |
| Description | Author affiliation: University of Texas at Austin (Murarka, A.) |
| Abstract | To be useful as a mobility assistant for a human driver, an intelligent robotic wheelchair must be able to distinguish between safe and hazardous regions in its immediate environment. We present a hybrid method using laser rangefinders and vision for building local 2D metrical maps that incorporate safety information (called local safety maps). Laser range-finders are used for localization and mapping of obstacles in the 2D laser plane, and vision is used for detection of hazards and other obstacles in 3D space. The hazards and obstacles identified by vision are projected into the travel plane of the robot and combined with the laser map to construct the local 2D safety map. The main contributions of this work are (i) the definition of a local 2D safety map, (ii) a hybrid method for building the safety map, and (iii) a method for removing noise from dense stereo data using motion. |
| Starting Page | 25 |
| Ending Page | 25 |
| File Size | 1356717 |
| Page Count | 1 |
| File Format | |
| ISBN | 0769525423 |
| DOI | 10.1109/CRV.2006.20 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-07 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wheelchairs Laser noise Robot vision systems Humans Hazards Safety Space exploration Mobile robots Intelligent robots Orbital robotics |
| Content Type | Text |
| Resource Type | Article |
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