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...
| Autors principals: | , , , , , , |
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| Altres autors: | |
| Format: | Journal Article |
| Idioma: | English |
| Publicat: |
2021
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| Matèries: | |
| Accés en línia: | https://hdl.handle.net/10356/147613 |