公开(公告)号：US20230419080A1

公开(公告)日：2023-12-28

申请号：US18301037

申请日：2023-04-14

Applicant: Electronics and Telecommunications Research Institute

Inventor： Dooseop CHOI ,  Kyoung-Wook MIN ,  Dong-Jin LEE ,  Yongwoo JO ,  Seung Jun HAN

IPC: G06N3/0455 ,  G06N3/0442 ,  G06N3/08 ,  B60W60/00

CPC classification number: G06N3/0455 ,  G06N3/0442 ,  G06N3/08 ,  B60W60/0027 ,  B60W2554/4041 ,  B60W2556/10 ,  B60W2554/402 ,  B60W2420/42 ,  B60W2552/53 ,  B60W2556/40

Abstract: The present disclosure relates to an apparatus and a method for predicting future trajectories of various types of objects using an artificial neural network trained by a method for training an artificial neural network to predict future trajectories of various types of moving objects for autonomous driving. The apparatus for predicting future trajectories includes a shared information generation module configured to: collect location information of one or more objects around an autonomous vehicle for a predetermined time, generate past movement trajectories for the one or more objects based on the location information, and generate a driving environment feature map for the autonomous vehicle based on road information around the autonomous vehicle and the past movement trajectories; and a future trajectory prediction module configured to generate future trajectories for the one or more objects based on the past movement trajectories and the driving environment feature map.