Can you tell me more about what kind of road (in)consistency you’re describing? It’s fun for me to think of how to improve this strategy. I am similarly oppose

Can you tell me more about what kind of road (in)consistency you’re describing? It’s fun for me to think of how to improve this strategy. I am similarly opposed/nervous around machine learning, seems impossible to debug weird decisions the black box makes, I would prefer a traditional, deterministic computer vision approach. Basically I want to segment incoming images into a grid and do a cosine similarity score between each cell and its neighbors one frame ago, to detect which direction and how quickly all the textures are moving. So I think it should be robust to whatever the road texture is, provided its not pitch black like wet asphalt.