Sparse and Persistent Map for Robot Visual SLAM Based on Scale- and Orientation-invariant Features
碩士 === 淡江大學 === 機械與機電工程學系碩士班 === 99 === In this thesis, a sparse and persistent map is established using the method of speeded-up robust features (SURF) and applied on the visual simultaneous localization and mapping (SLAM) based on the extended Kalman filter (EKF). Since SURF are scale- and ori...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/55263177331637210243 |