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Project made during the M2 Mechatronic Systems for Rehabilitation

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ja2la/Road-Work-Challenge

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General info

This project tries to meet the requirements of the challenge 'Road Work' at the Cybathlon competion (2024).

Required Hardware

  • RGB-D camera (in this project an Asus Xtion Pro was used)
  • A computer with ROS, Python and a speaker

Requirements

Python :

  • OpenCV
  • Numpy
  • Playsound
  • Time

ROS :

  • Openni2

How to launch the project

  1. Open a terminal
$ roscore
  1. Open another terminal Launch the camera
$ roslaunch openni_launch openni.launch
  1. Open another terminal Run the Image Processing Node

First set the red color mask :

$ cd catkin_make/src/Image_Processing_Algorithm/scripts
$ chmod +x SetHSV.py
$ rosrun Image_Processing_Algorithm SetHSV.py

Keep the values of trackbars and set them in the Algorithm.py file

Then you can run the complete algorithm

$ cd catkin_make/src/Image_Processing_Algorithm/scripts
$ chmod +x Algorithm.py
$ rosrun Image_Processing_Algorithm Algorithm.py
  1. Open another terminal Run the Vocal Feedback Node
$ cd catkin_make/src/Vocal_Feedback/scripts
$ chmod +x Vocal_Instructions.py
$ rosrun Vocal_Feedback Vocal_Instructions.py

Group Members

  • Juliette Faure
  • Esra Gudum
  • Jade La
  • Lauraine Tiogang Nanko

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Project made during the M2 Mechatronic Systems for Rehabilitation

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