Electronics and Telecommunications Research Institute

Taeg-Hyun An

Kyoung-Wook Min

Jeong-Dan Choi

Joo-Young Kim

Yoo-Seung Song

Kyung-Bok Sung

Yong-Woo Jo

Jungyu Kang

Jae-Hyuck Park

Doo-Seop Choi

Dong-Jin Lee

Do-Wook Kang

Seung-Jun Han

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.

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

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Daejeon, South Korea

Taeg-Hyun An