Research and Development of an Autonomous Drone System Integrating Computer Vision for Target Recognition and Precision Payload Deployment
Applying Autonomous Control and Computer Vision for GPS-Denied Navigation and Intelligent Aerial Manipulation
Project Overview
This project focuses on the research and implementation of an autonomous drone system capable of executing fully automated flight missions in GPS‑denied environments. The drone is equipped with an IMU, altimeter, optical flow module, and camera to enable relative localization and maintain stable flight trajectories.
The system incorporates real‑time image processing to detect, localize, and track specific targets. Once a target’s relative position is identified, a precision payload release mechanism is triggered via a tailored dynamic model and high‑precision control loop.
From navigation through target recognition to payload deployment, all processes are managed by a dedicated autonomous control unit designed for strict safety and accuracy requirements. Applications include search and rescue operations, indoor material transport, and competition entries in intelligent autonomous systems.
Key Benefits
- Enables stable UAV flight and localization without GPS using IMU, altimeter, and optical flow.
- Delivers real‑time target detection and tracking via onboard computer vision algorithms.
- Executes precise payload deployment through integrated dynamic modeling and control.
- Enhances capabilities for search & rescue, indoor logistics, and competitive robotics.
- Validated by top awards in international UAV competitions.