AELVI-SLAM: LiDAR–visual–inertial SLAM for autonomous exploration in multiple agricultural scenarios
Accurate simultaneous localization and mapping (SLAM) algorithms are essential for enhancing the operational efficiency of agricultural robots. However, existing SLAM methods are vulnerable to dynamic disturbances and cumulative drift in complex agricultural environments. Moreover, traditional SLAM...
Збережено в:
| Автори: | , , , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2026-06-01
|
| Серія: | Artificial Intelligence in Agriculture |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S258972172600036X |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|