An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
Recently, deep learning methods and multisensory fusion have been applied to address odometry challenges in unmanned ground vehicles (UGVs). In this paper, we propose an end-to-end visual-lidar-inertial odometry framework to enhance the accuracy of pose estimation. Grayscale images, 3D point clouds,...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2023-12-01
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| Serie: | Drones |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2504-446X/7/12/699 |
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