Electronics and Telecommunications Research Institute

Jungyu Kang

Kyoung-Wook Min

Jeong Dan Choi

Jeong Woo Lee

Jeong-Dan Choi

Joo-Young Kim

Yoo-Seung Song

Kyung-Bok Sung

Kyong Ho Kim

Seung Jun Han

Yong-Woo Jo

Chang Rak Yoon

Dong-Jin Lee

Jae-Hyuck Park

Byoung Jun Park

Doo-Seop Choi

Do-Wook Kang

Yoon Sook Hwang

Taeghyun An

Taeg-Hyun An

Seung-Jun Han

Disclosed are a method and an apparatus for generating a map for autonomous driving and recognizing a location based on the generated map. When generating a map, a spherical range image is obtained by projecting 3D coordinate information corresponding to a 3D space onto a 2D plane, and semantic segmentation is performed on the spherical range image to generate a semantic segmented image. Then, map data including a spherical range image, a semantic segmented image, and lane attribute information are generated.

Method and apparatus for generating a map for autonomous driving and recognizing location

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

Provided are an apparatus and method for transforming augmented reality information of a head-up display (HUD) for a vehicle. The apparatus for transforming augmented reality information of a head-up display for a vehicle includes a first projection transforming formula generation unit configured to extract a conjugate point by performing feature point matching on a first feature point of a forward recognition image of the vehicle input from a forward recognition camera and a second feature point of a first driver-based viewpoint image input from a driver-based viewpoint camera whose installation position is different from that of the forward recognition camera, and generate a first projection transforming formula; a second projection transforming formula generation unit configured to generate a second projection transforming formula using a straight-line intersection of a second driver-based viewpoint image, which is extracted from a second driver-based viewpoint image input from the driver-based viewpoint camera, and HUD coordinates pre-defined on the HUD; and an augmented reality information transformation unit configured to sequentially apply the generated first and second projection transforming formulas to recognition coordinates of a forward object, which is recognized from the first forward recognition image, to calculate primary and secondary transformation coordinates, and render the secondary transformation coordinates on the HUD.

Apparatus and method for transforming augmented reality information of head-up display for vehicle

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Daejeon, South Korea

Jungyu Kang