Hybrid genetic algorithm and particle filter optimization model for simultaneous localization and mapping problems
Determining position of a robot and knowing position of the required objects on the map in unknown environments such as underwater, other planets and the remaining areas of natural disasters has led to the development of efficient algorithms for Simultaneous Localization and Mapping (SLAM). The curr...
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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Online Access: | http://eprints.utm.my/id/eprint/77753/1/MohsenMahramiPFC2016.pdf |
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