Sparse optimization for robust and efficient loop closing
It is essential for a robot to be able to detect revisits or loop closures for long-term visual navigation. A key insight explored in this work is that the loop-closing event inherently occurs sparsely, i.e., the image currently being taken matches with only a small subset (if any) of previous image...
Main Authors: | Latif, Yasir (Author), Huang, Guoquan (Author), Leonard, John Joseph (Author), Neira, José (Author) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
Elsevier BV,
2020-04-06T13:43:54Z.
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Subjects: | |
Online Access: | Get fulltext |
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