情報処理学会 インタラクション2020

Nowadays, road accidents represent a big challenge for every country in the world. Lot of researches in AI, Machine Learning and Deep Learning are conducting every year to find some solutions to reduce road accidents trough predictions by using previous data of vehicles crashes. In Our research, we focused on a system that can automatically build a 3D simulation (for visualization purpose) of an accident given in input the manually made accident report. Our simulator, then, automatically generates labeled training data that will be used by the system for image recognition task to predict the responsibilities of each actor in the accident. The simulator, also, generates a sketch of the accident to append to the manually made accident report inputted into the system by the user.