A Dynamic Kalman Filtering Method for Multi-Object Fruit Tracking and Counting in Complex Orchards
With the rapid development of agricultural intelligence in recent years, automatic fruit detection and counting technologies have become increasingly significant for optimizing orchard management and advancing precision agriculture. However, existing deep learning-based models are primarily designed...
Saved in:
| Main Authors: | Yaning Zhai, Ling Zhang, Xin Hu, Fanghu Yang, Yang Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/13/4138 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fusion Unbiased Pseudo-Linear Kalman Filter-Based Bearings-Only Target Tracking
by: Zhihao Cai, et al.
Published: (2024-12-01) -
Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles
by: Loay Alfeqy, et al.
Published: (2024-12-01) -
EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING
by: I. A. Kudryavtseva
Published: (2016-12-01) -
GRU–Transformer Hybrid Model for GNSS/INS Integration in Orchard Environments
by: Peng Gao, et al.
Published: (2025-05-01) -
Automatic Tuning of Extended Kalman Filter in Sensorless Synchronous Reluctance Motor Drives
by: Saverio Rigon, et al.
Published: (2025-01-01)