Unsupervised Monocular Visual Odometry for Fast-Moving Scenes Based on Optical Flow Network with Feature Point Matching Constraint

Robust and accurate visual feature tracking is essential for good pose estimation in visual odometry. However, in fast-moving scenes, feature point extraction and matching are unstable because of blurred images and large image disparity. In this paper, we propose an unsupervised monocular visual odo...

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Detalles Bibliográficos
Autores principales: Zhuang, Yuji, Jiang, Xiaoyan, Gao, Yongbin, Fang, Zhijun, Fujita, Hamido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788516/
https://www.ncbi.nlm.nih.gov/pubmed/36560015
http://dx.doi.org/10.3390/s22249647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788516/
https://www.ncbi.nlm.nih.gov/pubmed/36560015
http://dx.doi.org/10.3390/s22249647

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