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公开(公告)号:US12062241B2
公开(公告)日:2024-08-13
申请号:US17517552
申请日:2021-11-02
Applicant: HYUNDAI MOTOR COMPANY , Kia Corporation
Inventor: Nam Hyung Lee , Sung Moon Jang
IPC: G06V20/56 , G01S17/894 , G01S17/931 , G06V10/44
CPC classification number: G06V20/588 , G01S17/894 , G01S17/931 , G06V10/44
Abstract: A lane recognition device based on a Light Detection and Ranging (LiDAR) for a vehicle and a method thereof may include a pre-processor that detects a lane point candidate group based on information detected from the LiDAR, a deep learning device that generates lane recognition information by learning the lane point candidate group, and a post-processor that converts the lane recognition information into lane information by use of a lane curve fitting algorithm.
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公开(公告)号:US20230410489A1
公开(公告)日:2023-12-21
申请号:US17954835
申请日:2022-09-28
Applicant: Hyundai Motor Company , Kia Corporation
Inventor: Bo Young Yun , Nam Hyung Lee
CPC classification number: G06V10/803 , G06V20/58 , G01S17/931
Abstract: A method for sensor fusion in a vehicle comprises generating a track for a target vehicle based on data acquired through a surround view monitoring camera of the vehicle, acquiring a plurality of pieces of first point data for an object around the vehicle, identifying a plurality of pieces of second point data associated with the track from among the plurality of pieces of first point data, and updating a sensor fusion track generated for the target vehicle using the plurality of pieces of second point data.
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公开(公告)号:US20240161515A1
公开(公告)日:2024-05-16
申请号:US18240194
申请日:2023-08-30
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION
Inventor: Nam Hyung Lee , Bo Young Yun , Sung Moon Jang
IPC: G06V20/58 , G01S17/89 , G01S17/931 , G06V10/77 , G06V10/80
CPC classification number: G06V20/58 , G01S17/89 , G01S17/931 , G06V10/7715 , G06V10/80
Abstract: An apparatus for determining a short cut-in target includes a processor, wherein the processor is configured to generate a ROI on a grid map by use of sensor information provided from a Light Detection and Ranging (LiDAR) sensor mounted on a vehicle, sets a cut-in reference line based on a sensor information on the generated grid map, and is configured to control to adjust a dynamic object fusion (DOF) track based on the set cut-in reference line.
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公开(公告)号:US20230090259A1
公开(公告)日:2023-03-23
申请号:US17897764
申请日:2022-08-29
Applicant: Hyundai Motor Company , Kia Corporation
Inventor: Bo Young Yun , Su Min Jo , Nam Hyung Lee
IPC: B60W30/095 , B60W50/00
Abstract: A sensor information fusion method of an embodiment includes selecting target tracks having distances from a reference track within a predetermined distance from among tracks obtained by a plurality of sensors, and selecting a target fusion track to be fused with the reference track on the basis of sums of first calculation values calculated according to distances between the selected target tracks and the reference track and second calculation values calculated according to overlapping areas of the target tracks and the reference track.
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公开(公告)号:US20240075922A1
公开(公告)日:2024-03-07
申请号:US18224807
申请日:2023-07-21
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION
Inventor: Nam Hyung Lee , Bo Young Yun
IPC: B60W30/095
CPC classification number: B60W30/095 , B60W2420/52 , B60W2554/4049
Abstract: A method for sensor fusion for a vehicle, includes determining a first point corresponding to a closest point of a target object from the vehicle with respect to a potential collision based on a LiDAR track thereof and a heading of the vehicle, determining a second point corresponding to a closest point of the target object from the vehicle with respect to a potential collision based on a sensor fusion track, and updating the sensor fusion track based on the first point and the second point.
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公开(公告)号:US20230150500A1
公开(公告)日:2023-05-18
申请号:US17892743
申请日:2022-08-22
Applicant: Hyundai Motor Company , Kia Corporation
Inventor: Nam Hyung Lee
CPC classification number: B60W30/16 , B60W40/04 , G01S17/931 , G01S17/89 , G01S17/08 , G06N3/02 , B60W2420/52 , B60W2554/80
Abstract: Disclosed are an apparatus and method for determining a cut-in of a vehicle. The apparatus includes a sensor that detects surroundings of the vehicle to generate a point cloud, and a controller that calculates a distance from a starting point to an obstacle based on the point cloud, calculates a distance ratio based on the distance to the obstacle, analyzes the distance ratio by using an artificial neural network, and determines whether a surrounding vehicle cuts in and a cut-in direction. Therefore, it is possible to quickly and accurately determine a cut-in vehicle by minimizing the operation load and increasing the accuracy of the determination performance.
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