LESA-Net: Semantic segmentation of multi-type road point clouds in complex agroforestry environment
Point-cloud semantic segmentation is a visual task essential for agricultural robots to comprehend natural agroforestry environments. However, owing to the extremely large amount of point-cloud data in agroforestry environments, learning effective features for semantic segmentation from large-scale...
| Auteurs principaux: | , , , , , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Elsevier
2024-09-01
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| Collection: | Heliyon |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2405844024128459 |