AI Kamikaze Drone: Autonomous Target Tracking with OpenCV & Gazebo | 2025 FPV Terminal Guidance Demo

Описание: Experience an advanced Gazebo drone simulation featuring integrated object locking and precise tracking capabilities. In this demonstration, the system showcases how a drone can automatically detect and lock onto a target, maintaining it centered in the frame while adjusting heading and movement in real-time.

The operator selects an object on the screen via a mouse click, triggering the AI to lock onto that point. The system then simulates the terminal phase of an autonomous flight, demonstrating how UAVs integrate computer vision, OpenCV, and control algorithms to achieve intelligent target following. This project is designed for research and testing of future applications such as surveillance, AI-based targeting, and autonomous navigation.

Technical Features:

Gazebo drone simulation environment and setup

Target acquisition via manual selection and locking

Real-time robust object tracking and detection

Automated quadcopter movement and heading control toward the locked target

Built with Python and OpenCV for high-performance processing

Compatible with hardware like Raspberry Pi and Jetson Nano

For inquiries regarding ArduPilot integration, autonomous GPS locking, or advanced robotics tutorials, please leave your questions in the comments section. Subscribe for more updates on UAV simulations and AI-powered drone systems.

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