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Vision-based Reactive control on UAVs for target tracking

This is a ROS C++ package of vision-based Reactive Control strategy for UAV aiming on target tracking. The general application of thiese controllers is a dynamic coastline in the presenc of waves. The different version of visual servoing will be analyzed belowThe controllers were all developed in a UAV synthetic simulation environment: https://github.com/sotomotocross/UAV_simulator_ArduCopter.git

vs_reactive_control_uav

This repository contains a set of ROS packages for implementing reactive control for UAVs (Unmanned Aerial Vehicles) using computer vision techniques.

Packages

1. vs_reactive_control_controller

Description

The vs_reactive_control_controller package implements the reactive control logic for UAVs. It utilizes computer vision data and features for control decision-making.

Dependencies

  • ROS (Robot Operating System)
  • Eigen library
  • mavros package
  • img_seg_cnn package

Build Instructions

  1. Clone this repository:

    git clone https://github.com/yourusername/vs_reactive_control_uav.git
  2. Build the catkin workspace:

    cd vs_reactive_control_uav
    catkin_make

Running the Controller

After building the workspace, you can run the controller node:

rosrun vs_reactive_control_controller vs_reactive_control_controller_node

2. vs_reactive_control_rbf_controller (To be implemented)

vs_reactive_control_uav's People

Contributors

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Watchers

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