VuongTuanKhanh/Airborne-Object-Detection-and-Tracking
Funix Capstone Project with Airborne Object Detection and Tracking
This project helps autonomous drones detect and track other airborne objects in real-time using only a single visual camera feed. It takes live video as input and outputs the detected objects' locations and predicted movements, enabling drones to identify potential collisions. This is designed for aerospace engineers or drone system developers working on 'Sense and Avoid' capabilities for autonomous flights.
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Use this if you need to equip an autonomous drone with the ability to detect and track flying objects, such as other drones or birds, to avoid mid-air collisions.
Not ideal if your system relies on LIDAR, radar, or multiple sensor inputs for obstacle avoidance, as this solution focuses solely on monocular video analysis.
Stars
22
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4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 25, 2023
Commits (30d)
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