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公开(公告)号：US20170192436A1
公开(公告)日：2017-07-06
申请号：US15198017
申请日：2016-06-30
Inventor： Kyoung Wook MIN , Kyung Bok SUNG , Jeong Dan CHOI , Seung Jun HAN , Joo Chan SOHN
CPC classification number: G05D1/0276 , G01C21/32 , G01C21/34 , G01C21/3658 , G05D1/0246 , G05D1/0257 , G05D1/028 , G05D2201/0213
Abstract: Disclosed are an autonomous driving service system for an autonomous driving vehicle, a cloud server for the same, and a method for operating the cloud server. The autonomous driving service system for the autonomous driving vehicle according to an embodiment of the present invention includes a user terminal that requests autonomous driving map data used for an autonomous driving vehicle to perform autonomous driving from a departure point set in advance to a destination, and a cloud server that establishes and manages precise map data based on raw data collected from a plurality of collection vehicles which are driving in mutually different locations, acquires the autonomous driving map data by searching for the precise map data in response to the request for autonomous driving map data of the user terminal, and transmits the acquired autonomous driving map data to the autonomous driving vehicle.
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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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3.发明申请公开(公告)号：US20180101172A1
公开(公告)日：2018-04-12
申请号：US15602912
申请日：2017-05-23
Inventor： Kyoung Wook MIN , Jeong Dan CHOI , Jun Gyu KANG , Sang Heon PARK , Kyung Bok SUNG , Joo Chan SOHN , Dong Jin LEE , Yong Woo JO , Seung Jun HAN
CPC classification number: G01C21/32 , G05D1/0287 , G05D2201/0213 , H04W4/023 , H04W4/44 , H04W4/46
Abstract: Provided are an apparatus and method for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle. The apparatus for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle includes a sensing section which senses surrounding vehicles traveling within a preset distance from the autonomous vehicle, a communicator which transmits and receives data between the autonomous vehicle and another vehicle or a cloud server, a storage which stores precise lane-level map data, and a learning section which generates mapping data centered on the autonomous vehicle by mapping driving environment data of a sensing result of the sensing section to the precise map data, transmits the mapping data to the other vehicle or the cloud server through the communicator, and performs learning for autonomous driving using the mapping data and data received from the other vehicle or the cloud server.
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4.发明公开公开(公告)号：US20240101149A1
公开(公告)日：2024-03-28
申请号：US18471474
申请日：2023-09-21
Inventor： Dong-Jin LEE , Kyoung-Wook MIN , Jeong-Woo LEE , Jeong Dan CHOI , Seung Jun HAN
IPC: B60W60/00
CPC classification number: B60W60/001 , B60W2554/4049
Abstract: A method of automatically detecting a dynamic object recognition error in an autonomous vehicle is provided. The method includes parsing sensor data obtained by frame units from a sensor device equipped in an autonomous vehicle to generate raw data by using a parser, analyzing the raw data to output a dynamic object detection result by using a dynamic object recognition model, determining that detection of a dynamic object recognition error succeeds by using an error detector when the dynamic object detection result satisfies an error detection condition, and storing the raw data and the dynamic object detection result by using a non-volatile memory when the detection of the dynamic object recognition error succeeds.
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5.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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Patent Agency Ranking
公开(公告)号：US20200182648A1
公开(公告)日：2020-06-11
申请号：US16698792
申请日：2019-11-27
Inventor： Jung Gyu KANG , Kyoung Wook MIN , Yong Woo JO , Doo Seop CHOI , Jeong Dan CHOI , Dong Jin LEE , Seung Jun HAN
IPC: G01C21/36 , G10L13/04 , G06K9/46 , G06F3/0484
Abstract: Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.
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公开(公告)号：US20230419080A1
公开(公告)日：2023-12-28
申请号：US18301037
申请日：2023-04-14
Inventor： Dooseop CHOI , Kyoung-Wook MIN , Dong-Jin LEE , Yongwoo JO , Seung Jun HAN
IPC: G06N3/0455 , G06N3/0442 , G06N3/08 , B60W60/00
CPC classification number: G06N3/0455 , G06N3/0442 , G06N3/08 , B60W60/0027 , B60W2554/4041 , B60W2556/10 , B60W2554/402 , B60W2420/42 , B60W2552/53 , B60W2556/40
Abstract: The present disclosure relates to an apparatus and a method for predicting future trajectories of various types of objects using an artificial neural network trained by a method for training an artificial neural network to predict future trajectories of various types of moving objects for autonomous driving. The apparatus for predicting future trajectories includes a shared information generation module configured to: collect location information of one or more objects around an autonomous vehicle for a predetermined time, generate past movement trajectories for the one or more objects based on the location information, and generate a driving environment feature map for the autonomous vehicle based on road information around the autonomous vehicle and the past movement trajectories; and a future trajectory prediction module configured to generate future trajectories for the one or more objects based on the past movement trajectories and the driving environment feature map.
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公开(公告)号：US20200174492A1
公开(公告)日：2020-06-04
申请号：US16698771
申请日：2019-11-27
Inventor： Dong Jin LEE , Jeong Dan CHOI , Jung Gyu KANG , Joo Young KIM , Kyoung Wook MIN , Kyung Bok SUNG , Taeg Hyun AN , Bong Jin OH , Yong Woo JO , Doo Seop CHOI , Seung Jun HAN
Abstract: Provided is an autonomous driving technology in which the autonomous driving method includes planning global travelling such that guidance information of global node points is acquired, determining a location of a subject vehicle, generating a first local high-definition map such that the first local high-definition map is generated for at least one section in a global-travelling planned route included in the planning of the global travelling using at least one of a road view and an aerial view provided from a map server, planning a local route for autonomous driving using the first local high-definition map, and controlling the subject vehicle according to the planning of the local route to perform the autonomous driving.
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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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公开(公告)号：US20150336576A1
公开(公告)日：2015-11-26
申请号：US14597722
申请日：2015-01-15
Inventor： Kyung Bok SUNG , Ju Wan KIM , Kyoung Wook MIN , Jeong Dan CHOI , Hyun Kyun CHOI , Seung Jun HAN
CPC classification number: B60W30/09 , B60W30/085 , B60W30/095 , B60W30/0953 , B60W2550/10 , G01C21/34 , G05D1/024
Abstract: An unmanned vehicle driving apparatus which allows obstacle avoidance and the method of it is commenced. The unmanned vehicle driving apparatus according to an exemplary embodiment include: a routing part which generates or receives a vehicle's fundamental driving route and generates a moved-driving route by adding or subtracting a route changing value to the fundamental driving route to avoid obstacles while driving; an obstacle detecting part which detects obstacles while driving; and a route driving part which drives the vehicle on the fundamental driving route and when an obstacle is detected, drives the vehicle on the moved-driving route to avoid it.
Abstract translation: 允许避免障碍的无人驾驶的车辆驾驶装置及其方法开始。 根据示例性实施例的无人驾驶车辆驱动装置包括：路线部分，其生成或接收车辆的基本驾驶路线，并且通过将基本驾驶路线的路线变化值相加或减去来产生移动驾驶路线，以在驾驶时避免障碍物; 在驾驶时检测障碍物的障碍物检测部; 以及在基本驾驶路线上驱动车辆的路线驱动部，当检测到障碍物时，将车辆驱动在移动驾驶路线上以避免。
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