Members:
- Bishoy Roufael
- Al-ameen Mawji
- Mohamed Dorrabb Khan Niazi
This project is based on the duckietown project and is part of 2020 JUB Robotics Lab.
We are considering the object detecting and vision part of the duckie. For simplicity we choose a ball as a target object that we want to detect and make the robot follow the ball. We are using Hough Transforms algorithm to detect the circle. we are using the implementation from cv2 to detect the number of circular objects in the camera setting. A pool ball can be used as a demo.
The code is written in python script which can be run directly in a ROS
environment. cd into the source folder. run chmod +x main.py to be able to
run the py script as executable. Then directly run ./main.py.
The algorithms used in the project are presented in the utils.py script.
There are some video demos of the hough transform detection presented as well in the repo as .avi videos