[wroscoe]

Traditional CV approaches are much easier to debug as well. I chose the ML approach with the assumption that it would be easier to build a robust autopilot that would work in many lighting conditions. Actually my short term goal is to get the car to drive around my block on the sidewalk (no lines). From my experience CV approaches have many parameters that need to be tuned specifically for each environment. While ML approaches also have parameters that need tuning they stay constant between environments.

[billyzs]

I see, that makes sense. It'd be indeed worth it if we can apply a model trained on controlled environment to a more challenging one with little to no modification. Good luck with the project and keep us updated!