Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion
Abstract This study presents breakthrough mathematical formulations for UAV tracking that achieve 56.1% HOTA accuracy for targets with start-stop and irregular motion—a 65% improvement over traditional Kalman Filter approaches. Unmanned aerial vehicles face significant challenges when tracking targe...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-13698-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|