(2022) Enhanced robust spatial feature selection and correlation filter learning for UAV tracking
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Updated
Feb 2, 2023 - MATLAB
(2022) Enhanced robust spatial feature selection and correlation filter learning for UAV tracking
This is the code implementation for the paper UAV Tracking with Solid-State Lidars: Dynamic Multi-Frequency Scan Integration.
A real-time computer vision system that detects and tracks low-altitude drones using YOLO and BoT-SORT, driving an ESP32-controlled laser turret via a custom desktop GUI.
A real-time object tracking system combining YOLOv8 detection with OpenCV's CSRT, KCF, and MIL algorithms for robust and efficient video analysis.
Drone Detection-Tracking-and-Payload-Identification Challenge
Real-time UAV detection, optical-flow tracking, Kalman-filter state estimation, and closed-loop gimbal control.
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