  Due to the complex and dynamic character of intersection scenarios, the
autonomous driving strategy at intersections has been a difficult problem and a
hot point in the research of intelligent transportation systems in recent
years. This paper gives a brief summary of state-of-the-art autonomous driving
strategies at intersections. Firstly, we enumerate and analyze common types of
intersection scenarios, corresponding simulation platforms, as well as related
datasets. Secondly, by reviewing previous studies, we have summarized
characteristics of existing autonomous driving strategies and classified them
into several categories. Finally, we point out problems of the existing
autonomous driving strategies and put forward several valuable research
outlooks.
