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vision-based-human-track-and-follow's Introduction

Vision based Human robust tracking and following on Quadrotors.

Directory Structure:

├── driver_common
│   └── ..............................::
├── README.md
├── remote_execute.md ..............................:: Instructions for remote server execution.
├── local_execute.md ..............................:: Instructions for local execution.
├── set_params.sh ..............................:: Shell scripts to set different params easily.
├── hector_quadrotor_tutorial
│   └── ..........:: Files related to hector quadrotor. [TODO: Purge and keep only the required ones]
├── gazebo_ros_pkgs
│   └── ..........:: Files needed for gazebosim. [TODO: Purge]
├── tld_msgs
│   └── ..........:: Custom ROS message files for publishing/subscribing BoundingBoxes.
├── results
│   └── ..........:: Some images/videos from the runs.
├── server_side_code
│   └── ..............................:: ROS based to be executed on remote machine.
└── follow_quad
    └── ..........:: Prime ROS package for quadrotor control.

ROS Graph

The following ros_graph out put shows the major nodes and topic working on the simultaion side, i.e on the quadrotor side. ros-graph

Running the code

Take a look at the files remote_execute.md and local_execute.md for detailed instructions on how to recreate the runs.

Requirements

On the remote machine the following packages are required to be installed:

  • ros
  • tensorflow_object_detector
  • vision_msgs
  • pykalman

The requirements of these are not listed but would obiviously need to be installed.

On the local machine:

  • gazebo
  • ros

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