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Drone_sim on Gazebo


Introuction

Gazebo simulation of Parrot drone performing human continous tracking using Openpose powered by ROS

Skills Summary:

  • ROS
  • Gazebo simulator
  • Machine Learning
  • Computer Vision (Perception)
  • OOP programming
  • Innovative Prototyping

Env

  1. ./env.sh
  2. rosrun pysdf sdf2urdf.py sjtu_drone.sdf sjtu_drone.urdf

Run

  1. ./run_gazebo.sh
  2. ./run_script.sh

Results

  1. NVIDIA TRT Pose estimation

DroneGif

  1. OpenCV Openpose

Drone2Gif


Reference

  1. https://github.com/NVIDIA-AI-IOT/trt_pose
  2. https://github.com/tahsinkose/sjtu-drone
  3. https://github.com/tahsinkose/openai-ros-gazebo-workout

Appendix


Sprint Presentation


Commits

Commit Abbreviation Description
INIT: Initialised a file
MOD: Modified a function or something.
ADD: Added a function or an aspect of something.
FIX: A quick little fix.
DEL: Deleted something.
[NOT TESTED] Flag for if it hasn't been tested.