Apparatus for recognizing object of automated driving system using error removal based on object classification and method using the same

• Main Authors: Min, Kyoung-Wook, Choi, Doo-Seop, Song, Yoo-Seung, Kim, Joo-Young, Sung, Kyung-Bok, Han, Seung-Jun, An, Taeg-Hyun, Lee, Dong-Jin, Jo, Yong-Woo, Park, Jae-Hyuck, Choi, Jeong-Dan, Kang, Do-Wook, Kang, Jungyu
• Format: Patent
• Language: English
• Published: 22.11.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

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.