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| license: apache-2.0 |
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| 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. |
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| Kalman filter state design and noise parameters. |
| Part 2 |
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| Failure cases and how the tracker handles missed detections. |
| Part 2 |
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