An Optimal Viewpoint-Guided Visual Indexing Method for UAV Autonomous Localization
The autonomous positioning of drone-based remote sensing plays an important role in navigation in urban environments. Due to GNSS (Global Navigation Satellite System) signal occlusion, obtaining precise drone locations is still a challenging issue. Inspired by vision-based positioning methods, we pr...
Saved in:
| Main Authors: | Zhiyang Ye, Yukun Zheng, Zheng Ji, Wei Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/13/2194 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Visual–Inertial Odometry Robustness and Accuracy in Challenging Environments
by: Alessandro Minervini, et al.
Published: (2025-05-01) -
A Review on Deep Learning for UAV Absolute Visual Localization
by: Andy Couturier, et al.
Published: (2024-10-01) -
Cooperative Localization of Multi-Agent Autonomous Aerial Vehicle (AAV) Networks in Intelligent Transportation Systems
by: S. Shahkar
Published: (2025-01-01) -
Visual Point Cloud Map Construction and Matching Localization for Autonomous Vehicle
by: Shuchen Xu, et al.
Published: (2025-07-01) -
GNSS-denied geolocalization of UAVs using terrain-weighted constraint optimization
by: Fushan Yao, et al.
Published: (2024-12-01)