公开(公告)号：US20220164609A1

公开(公告)日：2022-05-26

申请号：US17380663

申请日：2021-07-20

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Dong-Jin LEE ,  Do-Wook KANG ,  Jungyu KANG ,  Joo-Young KIM ,  Kyoung-Wook MIN ,  Jae-Hyuck PARK ,  Kyung-Bok SUNG ,  Yoo-Seung SONG ,  Taeg-Hyun AN ,  Yong-Woo JO ,  Doo-Seop CHOI ,  Jeong-Dan CHOI ,  Seung-Jun HAN

IPC: G06K9/62 ,  G06K9/32 ,  G06K9/00 ,  G06T7/80

Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.