Woodpecker_Autonomy_v1

This is a working version of the line detection and steering program for the Woodpecker LSEV as part of my senior capstone design team at Oregon State University.

Requirements

• Python ver. 3.8+
• pip (Python package manager)
• git (version control manager)

Step one: clone this repository

Type into your terminal/shell:

git clone https://github.com/Substrate22/Woodpecker_Autonomy_v1.git

To setup, you need to install the following dependicies via:

cd Woodpecker_Autonomy_v1
pip install numpy
pip install opencv-python

To run, type:

python3 line_following_v1.py

Notes

• Video input: In the process_frame function, cv.VideoCapture(0) sets the laptop webcam as the video input source. To use a USB camera, you might need to try indexes 2, 3, or 4.
• The camera is meant to be placed at an angle close to the ground with the line at the same field of view as the trapezoidal frame. Try placing a rectangular object in front of a blank background and orienting the edges to match the trapezoid, as shown below: