Self Driving Cars, Machine Learning, Machine Vision, Optical Computing.
randomly place them in the existing dataset and retrain on that. The downside of all this is that every time a new weakness is found in how the vehicle drives, the dataset grows, and the whole set must be used for re-training. This comes at an immense cost, both in terms of time and electrical