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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Angeli, A. Doncieux, S. Meyer, J.-A. Filliat, D. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. Pierre et Marie Curie, Paris (Angeli, A.; Doncieux, S.; Meyer, J.-A.) |
| Abstract | In robotics, appearance-based topological map building consists in infering the topology of the environment explored by a robot from its sensor measurements. In this paper, we propose a vision-based framework that considers this data association problem from a loop-closure detection perspective in order to correctly assign each measurement to its location. Our approach relies on the visual bag of words paradigm to represent the images and on a discrete Bayes filter to compute the probability of loop-closure. We demonstrate the efficiency of our solution by incremental and real-time consistent map building in an indoor environment and under strong perceptual aliasing conditions using a single monocular wide-angle camera. |
| Starting Page | 1031 |
| Ending Page | 1036 |
| File Size | 752186 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424420575 |
| DOI | 10.1109/IROS.2008.4650675 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Cameras Feature extraction Robots Vocabulary Image edge detection Evolution (biology) |
| Content Type | Text |
| Resource Type | Article |
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