V2X 통신 및 LSTM을 활용한 주변 차량 경로 예측 알고리즘

Abstract

To bring the autonomous vehicle into the life, many researches are conducted on path prediction based on recognition sensors. Still there are many obstacles on recognition derived from the sensors’ costs and flood of their raw data. To solve the problems, V2X communication is considered to be the replacement or complementary component. On the prediction step, machine learning is emerging as one of the best method for the path prediction. In this paper, we proposed distance prediction which is the basic of path prediction of upcoming 3 seconds, based on data derived from mono camera and V2X communication and machine learning algorithm