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  • Search: subject:"Visual odometry"
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Subject
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Attention mechanism 1 Binocular visual odometry 1 Context-gated convolution 1 End-to-end learning 1 Feature matching 1 Features from accelerated segment test (FAST) 1 Random Sample Consensus (RANSAC) 1 Visual odometry 1
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Undetermined 2
Type of publication
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Article 2
Type of publication (narrower categories)
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research-article 2
Language
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English 2
Author
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Diao, Ming 1 Huang, Jiani 1 Li, Yibing 1 Qin, Hong 1 Sun, Qian 1 Wang, Yanyun 1 Xu, Yan 1 Zhang, Ya 1
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Published in...
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Industrial Robot: An International Journal 1 Industrial Robot: the international journal of robotics research and application 1
Source
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Other ZBW resources 2
Showing 1 - 2 of 2
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An end-to-End deep context gate convolutional visual odometry system based on lightweight attention mechanism
Xu, Yan; Qin, Hong; Huang, Jiani; Wang, Yanyun - In: Industrial Robot: the international journal of robotics … 49 (2022) 1, pp. 47-53
Purpose Conventional learning-based visual odometry (VO) systems usually use convolutional neural networks (CNN) to …
Persistent link: https://www.econbiz.de/10014835358
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An improved binocular visual odometry algorithm based on the Random Sample Consensus in visual navigation systems
Sun, Qian; Diao, Ming; Li, Yibing; Zhang, Ya - In: Industrial Robot: An International Journal 44 (2017) 4, pp. 542-551
Purpose The purpose of this paper is to propose a binocular visual odometry algorithm based on the Random Sample … novel binocular visual odometry algorithm. The feasibility and effectiveness of the proposed matching method and the … improved binocular visual odometry algorithm were also verified in this paper. Practical implications This paper presents an …
Persistent link: https://www.econbiz.de/10014836004
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