Image-similarity-based convolutional neural network for robot visual relocalization

Image-similarity-based convolutional neural network for robot visual relocalization

Convolutional neural network (CNN)-based methods, which train an end-to-end model to regress a six degree of freedom (DoF) pose of a robot from a single red–green–blue (RGB) image, have been developed to overcome the poor robustness of robot visual relocalization recently. However, the pose precisio...

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Bibliographic Details
Main Authors: Wang, Li, Li, Ruifeng, Sun, Jingwen, Seah, Hock Soon, Quah, Chee Kwang, Zhao, Lijun, Tandianus, Budianto
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Visual Relocalization
CNN
Online Access:https://hdl.handle.net/10356/147613

Internet

https://hdl.handle.net/10356/147613

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