公开(公告)号：US11507783B2

公开(公告)日：2022-11-22

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 ,  G06T7/80 ,  G06V10/24 ,  G06V20/56 ,  G06V20/58 ,  G06V20/64

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.