Learning to Fuse Multiscale Features for Visual Place Recognition

Efficient and robust visual place recognition is of great importance to autonomous mobile robots. Recent work has shown that features learned from convolutional neural networks achieve impressed performance with efficient feature size, where most of them are pooled or aggregated from a convolutional...

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Bibliographic Details
Main Authors: Jun Mao, Xiaoping Hu, Xiaofeng He, Lilian Zhang, Liao Wu, Michael J. Milford
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8585013/