Research on refined UAV inspection method of wind/solar power stations based on YOLOv8
Abstract More and more research is focusing on the unmanned aerial vehicle (UAV) inspection of onshore wind/solar power stations; however, how to balance the contradiction between detection accuracy and efficiency is still a challenge for domestic and international researches. In this paper, for the...
Saved in:
Main Authors: | Jieyi Pu, Qifeng Zhang, Wenbo Zhao, Wei Zhang, Zengren Qin, Yumeng Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
|
Series: | Journal of Engineering and Applied Science |
Subjects: | |
Online Access: | https://doi.org/10.1186/s44147-025-00576-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration
by: Miguel Tradacete-Ágreda, et al.
Published: (2025-04-01) -
UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design
by: Jin Dai, et al.
Published: (2025-01-01) -
A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model
by: Kun Yang, et al.
Published: (2025-01-01) -
DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism
by: Cong Lin, et al.
Published: (2025-01-01) -
YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery
by: Chenglei Sun, et al.
Published: (2025-01-01)