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license: apache-2.0
Dataset choice and detector configuration. DAtaset: Drone Detection Computer Vision Dataset Autor: DroneDetectionPITT Dataset Link: https://universe.roboflow.com/dronedetectionpitt-nwyps/drone-detection-yhkcr The dataset contains 34000 drone images across different settings, lighting conditions, and camera proximity. Detector configuration: yolov8. Train 20 epochs. YOLOv8 was chosen because it supports a wide range of tasks, including object detection, that is the main goal of the tasks given.
Kalman filter state design and noise parameters. Part 2
Failure cases and how the tracker handles missed detections. Part 2