Monocular VO Based on Deep Siamese Convolutional Neural Network
Deep learning-based visual odometry systems have shown promising performance compared with geometric-based visual odometry systems. In this paper, we propose a new framework of deep neural network, named Deep Siamese convolutional neural network (DSCNN), and design a DL-based monocular VO relying on...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2020-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/6367273 |