Safety is the lifeblood of cars. In the face of the massive data of tens of millions of kilometers per day generated by intelligent vehicles, it has become a new path to use such mass production data improving driving safety. This report introduces the method of efficient collection and scene mining from the vehicle end. It also presents the process that can quickly produce the training data and problem regression test sets required for algorithm iterations. Finally, a closed-loop path for vehicle performance improvement is realized.