Compressed Holistic ConvNet Representations for Detecting Loop Closures in Dynamic Environments

Detecting loop closures in dynamic environments is a severe challenge for the simultaneous localization and mapping (SLAM) system. Convolutional neural networks (ConvNet) could provide high-level and abstract representations extracted directly from images as image descriptors. Some novel ConvNet-bas...

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Bibliographic Details
Main Authors: Shuo Wang, Xudong Lv, Xiaomin Liu, Dong Ye
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9043481/