Feb 1, 2019 · This paper presents a novel visual odometry system based on a recurrent convolutional neural network. The system employs an unsupervised end-to-end training ...
Deep learning technique based visual odometry systems have recently shown promising results compared to feature matching based methods.
Sep 20, 2017 · UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks.
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Monocular Visual Odometry Through Unsupervised Deep Learning
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A novel monocular visual odometry system called UnDeepVO, able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep ...
UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks.
Missing: Technique | Show results with:Technique
We propose a novel monocular visual odometry (VO) system called UnDeepVO in this paper. UnDeepVO is able to estimate the 6-DoF pose of a monocular camera ...
UnDeepVO is able to estimate the 6-DoF pose of a monocular camera and the depth of its view by using deep neural networks. There are two salient features of the ...
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... This solution focuses on creating a visual odometry without sensor fusion or loop detection optimization. The second type employs an end-toend approach, ...
UnDeepVO - Implementation of Monocular Visual Odometry through Unsupervised Deep Learning. License: MIT license. 104 stars. 34 forks.
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Using Unsupervised Deep Learning Technique for Monocular Visual Odometry. Qiang Liu, Ruihao Li, Huosheng Hu, Dongbing Gu.