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3D Drone Detection Model

This repository contains a 3D drone detection model designed for target drone detection, tracking, position estimation, and velocity estimation.

Features

The code in this repository provides the following functionalities:

1. Target Drone Detection:

   • Utilizes advanced computer vision techniques and deep learning to identify and locate drones in a 3D space.

2. Target Drone Tracking:

   • Implements tracking algorithms to follow the movement of identified drones over time.

3. Target Drone Position Estimation:

   • Utilizes the detected features to estimate the precise position of the target drone in a 3D coordinate system.

4. Target Drone Velocity Estimation:

   • Calculates the velocity of the target drone based on its movement patterns.

Usage

Follow the steps below to use the 3D drone detection model:

1. Install MiniConda3

   • Download Miniconda package here

   cd ~/Downloads
   bash Miniconda3-latest-Linux-aarch64.sh

2. Install Ecal In a new terminal

   sudo add-apt-repository ppa:ecal/ecal-5.11
   sudo apt-get update
   sudo apt-get install ecal
   
   sudo apt install python3-ecal5

3. Create Conda Environment

   cd ecal-common/python
   conda create -n vilota python=3.9

4. Install Dependencies:

   conda activate vilota
   pip install matplotlib==3.5.1 numpy==1.25.0 pycapnp==1.3.0 ultralytics==8.0.220 protobuf

5. Running Detection Program:

   python3 test_detection3d.py

6. If you face this error

   import ecal.core.core as ecal_core
   ModuleNotFoundError: No module named 'ecal'

   1. Open test_detection3d.py
   2. Add these lines to the top of the python file

      import sys
      sys.path.append('/usr/local/lib/python3.8/dist-packages')
      print(sys.path)

Watch Demo 1

Watch Demo 2

License

This project is licensed under the MIT License. Feel free to use, modify, and distribute the code for both non-commercial and commercial purposes.

Happy coding!