We're going to create a visual grid of squares with obstacles in it. Then, we'll use computer vision and a path planning algorithm to find the optimal route from point A to point B in the grid. You'll need the OpenCV, scikit-image, and numpy libraries installed for python.
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The code for this video is here:
https://github.com/llSourcell/path_planning_demo_live
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More learning resources:
https://www.youtube.com/watch?v=sAoBeujec74
https://www.raywenderlich.com/4946/introduction-to-a-pathfinding
http://docs.opencv.org/2.4/doc/tutorials/tutorials.html
https://www.udacity.com/course/introduction-to-computer-vision--ud810
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