TSFNet: A Two-Stage Fusion Network for Visual–Inertial Odometry
In autonomous operations of unmanned aerial vehicles (UAVs), accurate pose estimation is a core prerequisite for achieving autonomous navigation, obstacle avoidance, and task execution. To address the challenge of localization in GNSS-denied environments, Visual–Inertial Odometry (VIO) has emerged a...
Збережено в:
| Автори: | , , , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2025-11-01
|
| Серія: | Mathematics |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2227-7390/13/23/3842 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|