Electronics and Telecommunications Research Institute

Dong-Jin Lee

Kyoung-Wook Min

Jae Hong Kim

Jong-Hyun Park

Jeong-Dan Choi

Yun Koo Chung

Joo-Young Kim

Yoo-Seung Song

Kye Kyung Kim

Sang Seung Kang

Kyung-Bok Sung

Mun Sung Han

Yong-Woo Jo

Suyoung Chi

Jungyu Kang

Jae-Hyuck Park

Doo-Seop Choi

Jung-Gyu Kang

Do-Wook Kang

Seung-Jun Han

Taeg-Hyun An

Disclosed herein are an apparatus and method for automatic parking based on recognition of a parking area environment. The method may include searching for an available parking space, determining whether reverse parking is possible by recognizing the environment of the available parking space, recognizing at least one additional vehicle located in the vicinity of the available parking space, and setting a parking destination based on the determination of whether reverse parking is possible and the result of recognition of the at least one additional vehicle.

Apparatus and method for automatic parking based on parking area environment recognition

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

An apparatus for recognizing a user's posture in a horse-riding simulator, the apparatus comprising: a standard posture model generation module configured to find out a standard posture model by selecting feature points from an expert database, and generate the standard posture model; and a posture recognizing module configured to obtain a user's posture from the horse-riding simulator, recognize a user's horse-riding posture by matching the obtained user's posture with the standard posture model generated in the standard posture model generation module, and suggest a standard posture model appropriate for a user's level.

Apparatus and method for recognizing user's posture in horse-riding simulator

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Daejeon, South Korea

Dong-Jin Lee