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公开(公告)号：US20230008458A1
公开(公告)日：2023-01-12
申请号：US17857352
申请日：2022-07-05
Inventor： Kyoung-Wook MIN , Jae-Hyuck PARK
Abstract: Disclosed herein are an autonomous driving method for avoiding a stopped vehicle and an apparatus for the same. The autonomous driving method for avoiding a stopped vehicle is performed by an autonomous driving control apparatus provided in an autonomous vehicle, and includes obtaining taillight recognition information for a stopped vehicle identified ahead of the autonomous vehicle, determining whether the stopped vehicle is to be avoided in consideration of the taillight recognition information, when it is determined that the stopped vehicle is to be avoided, setting an avoidance method in consideration of whether lane returning is to be performed, which is determined based on an autonomous driving task, and setting an avoidance time point corresponding to the avoidance method and controlling the autonomous vehicle to avoid the stopped vehicle by traveling along an avoidance path generated in conformity with the avoidance time point.
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12.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：US20230186645A1
公开(公告)日：2023-06-15
申请号：US17993402
申请日：2022-11-23
Inventor： Do Wook KANG , Jae-Hyuck PARK , Kyoung-Wook MIN , Kyung Bok SUNG , Yoo-Seung SONG , Dong-Jin LEE , Jeong Dan CHOI
CPC classification number: G06V20/584 , B60W40/04 , B60W2554/4046 , B60W2420/52
Abstract: Disclosed is a system performing a method for detecting intersection traffic light information including a traffic light detection module including an image sensor for generating first signal data based on traffic light image data in which a traffic light is included, a communication module that receives second signal data for communication with a surrounding object and an external device, an object information collection module that collects dynamic data of the surrounding object, and a signal information inference module that infers third signal data based on the dynamic data. The dynamic data of the surrounding object includes at least one information of whether the surrounding object moves, a moving direction of the surrounding object, and whether the surrounding object accelerates or decelerates. Each of the signal data includes pieces of information about a type of the traffic light and a signal direction of the traffic light.
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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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15.发明申请APPARATUS AND METHOD FOR PROVIDING LOCATION AND HEADING INFORMATION OF AUTONOMOUS DRIVING VEHICLE ON ROAD WITHIN HOUSING COMPLEX 审中-公开装置和方法，用于在外壳复合件中提供自动驾驶车辆位置和头部信息公开(公告)号：US20150142248A1
公开(公告)日：2015-05-21
申请号：US14519288
申请日：2014-10-21
Inventor： Seung-Jun HAN , Kyung-Bok SUNG , Kyoung-Wook MIN , Jeong-Dan CHOI
IPC: G01C21/36
CPC classification number: G01C21/3602
Abstract: Disclosed herein is an apparatus and method for providing location and heading information of an autonomous driving vehicle on a road within a housing complex. The apparatus includes an image sensor installed on an autonomous driving vehicle and configured to detect images of surroundings depending on motion of the autonomous driving vehicle. A wireless communication unit is installed on the autonomous driving vehicle and is configured to receive a Geographic Information System (GIS) map of inside of a housing complex transmitted from an in-housing complex management device in a wireless manner. A location/heading recognition unit is installed on the autonomous driving vehicle, and is configured to recognize location and heading of the autonomous driving vehicle based on the image information received from the image sensor and the GIS map of the inside of the housing complex received via the wireless communication unit.
Abstract translation: 本文公开了一种用于在住宅区内的道路上提供自主驾驶车辆的位置和航向信息的装置和方法。 该装置包括安装在自主驾驶车辆上并被配置为根据自主驾驶车辆的运动来检测周围环境的图像的图像传感器。 无线通信单元安装在自主驾驶车辆上，并被配置为以无线方式接收从房屋内复合管理设备发送的房屋复合体内部的地理信息系统（GIS）地图。 位置/航向识别单元安装在自主驾驶车辆上，并且被配置为基于从图像传感器接收的图像信息和通过接收的住房复合体的内部的GIS地图来识别自主驾驶车辆的位置和航向 无线通信单元。
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Patent Agency Ranking
公开(公告)号：US20240233157A9
公开(公告)日：2024-07-11
申请号：US18491916
申请日：2023-10-23
Inventor： Jae-Hyuck PARK , Kyoung-Wook MIN , Jeong Dan CHOI
CPC classification number: G06T7/55 , G06V10/7715 , G06T2207/20221
Abstract: Disclosed is a processor which includes a camera image feature extractor that extracts a camera image feature based on a camera image, a LIDAR image feature extractor that extracts a LIDAR image feature based on a LIDAR image, a sampling unit that performs a sampling operation based on the camera image feature and the LIDAR image feature and generates a sampled LIDAR image feature, a fusion unit that fuses the camera image feature and the sampled LIDAR image feature and generates a fusion map, and a decoding unit that decodes the fusion map and generates a depth map. The sampling operation includes back-projecting a pixel location of the camera image feature on a camera coordinate system to generate a back-projection point, and projecting the back-projection point on a plane of the LIDAR image to calculate sampling coordinates.
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公开(公告)号：US20240135564A1
公开(公告)日：2024-04-25
申请号：US18491916
申请日：2023-10-22
Inventor： Jae-Hyuck PARK , Kyoung-Wook MIN , Jeong Dan CHOI
CPC classification number: G06T7/55 , G06V10/7715 , G06T2207/20221
Abstract: Disclosed is a processor which includes a camera image feature extractor that extracts a camera image feature based on a camera image, a LIDAR image feature extractor that extracts a LIDAR image feature based on a LIDAR image, a sampling unit that performs a sampling operation based on the camera image feature and the LIDAR image feature and generates a sampled LIDAR image feature, a fusion unit that fuses the camera image feature and the sampled LIDAR image feature and generates a fusion map, and a decoding unit that decodes the fusion map and generates a depth map. The sampling operation includes back-projecting a pixel location of the camera image feature on a camera coordinate system to generate a back-projection point, and projecting the back-projection point on a plane of the LIDAR image to calculate sampling coordinates.
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18.发明公开公开(公告)号：US20240123973A1
公开(公告)日：2024-04-18
申请号：US18365071
申请日：2023-08-03
Inventor： Jung-Gyu KANG , Dong-Jin LEE , Kyoung-Wook MIN
CPC classification number: B60W30/06 , B60W30/18036 , G06V10/26 , G06V20/586 , B60W2554/20
Abstract: 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.
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公开(公告)号：US20240010237A1
公开(公告)日：2024-01-11
申请号：US18311794
申请日：2023-05-03
Inventor： Yoo-Seung SONG , Shin-Kyung LEE , Kyoung-Wook MIN , Jeong-Dan CHOI
IPC: B60W60/00 , B60W30/095 , B60W30/09
CPC classification number: B60W60/0015 , B60W30/0956 , B60W30/09 , B60W2756/10 , B60W2554/80
Abstract: Disclosed herein is a method of controlling an autonomous vehicle driving in a lane of a main line. The method may include determining whether the autonomous vehicle is driving in a target lane to accommodate merging traffic, determining whether a merge request message is received from a merging vehicle when the autonomous vehicle is determined to drive in the target lane, determining whether a collision with the merging vehicle will occur based on the merge request message when the merge request message is received, and sending a merge approval message to the merging vehicle when the collision with the merging vehicle is expected.
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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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