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Patent Agency Ranking
公开(公告)号：US20190172225A1
公开(公告)日：2019-06-06
申请号：US16133158
申请日：2018-09-17
Inventor： Sang Heon PARK , Jeong Dan CHOI , Seung Jun HAN , Jungyu KANG , Kyoung Wook MIN , Kyung Bok SUNG , Dong Jin LEE , Yong Woo JO
Abstract: Provided is a technology for a vehicle sensor calibration, in which a vehicle sensor calibration apparatus according to an embodiment includes a sensor device installed inside a calibration room that is a space in which a vehicle having a vehicle sensor mounted thereon is positioned, and configured to obtain basic position information and basic orientation information of the vehicle, a calibration execution module installed in the vehicle and configured to execute calibration on the vehicle sensor on the basis of information received from the outside, and a control module configured to generate calibration position information and calibration orientation information for calibration of the vehicle by analyzing the basic position information and the basic orientation information obtained by the sensor device.
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2.发明申请公开(公告)号：US20220163346A1
公开(公告)日：2022-05-26
申请号：US17532846
申请日：2021-11-22
Inventor： Seung Jun HAN , Jungyu KANG , Kyoung-Wook MIN , Taeghyun AN , Jeong Dan CHOI
Abstract: 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.
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公开(公告)号：US20220164609A1
公开(公告)日：2022-05-26
申请号：US17380663
申请日：2021-07-20
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
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.
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公开(公告)号：US20230177845A1
公开(公告)日：2023-06-08
申请号：US18073111
申请日：2022-12-01
Inventor： Dong-Jin LEE , Jungyu KANG , Kyoung-Wook MIN , Jeong Dan CHOI , Seung Jun HAN
IPC: G06V20/58 , G06V10/774 , G06T7/70 , G06V20/70
CPC classification number: G06V20/584 , G06V10/774 , G06T7/70 , G06V20/70 , G06T2207/20076 , G06T2207/20081
Abstract: Disclosed is a system for executing a traffic light recognition model learning and inference method, includes a data collection platform including a camera for collecting image data, and a first processor that samples traffic light image data including a traffic light among the image data, generates annotation data based on the traffic light image data, and generates a traffic light data set using the traffic light image data and the annotation data, wherein the traffic light data set includes information on a location of the traffic light, a type of the traffic light, traffic light on/off, and a traffic signal direction of the traffic light.
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5.发明申请公开(公告)号：US20170307881A1
公开(公告)日：2017-10-26
申请号：US15413932
申请日：2017-01-24
Inventor： Chang Rak YOON , Jungyu KANG , Kyong Ho KIM , Byoung Jun PARK , Jeong Woo LEE , Yoon Sook HWANG
CPC classification number: G02B27/0101 , G02B2027/0138 , G02B2027/014 , G06K9/00791 , G06K9/4633 , G06T3/00 , G06T7/33 , G06T7/73 , G06T19/006 , G06T2207/20061 , G06T2207/30252
Abstract: 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.
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