Using learning of speed to stabilize scale in monocular localization and mapping
Monocular visual localization and mapping algorithms are able to estimate the environment only up to scale, a degree of freedom which leads to scale drift, difficulty closing loops, and eventual failure. This paper describes an imagedriven approach for scale-drift correction which uses a convolution...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2018
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