A spatio-temporal long-term memory approach for visual place recognition in mobile robotic navigation
This paper proposes a solution to the problem of mobile robotic localization using visual indoor image sequences with a biologically inspired spatio-temporal neural network approach. The system contains three major subsystems: a feature extraction module, a scene quantization module and a spatio-tem...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/107260 http://hdl.handle.net/10220/17664 |