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1.
公开(公告)号:US11676488B2
公开(公告)日:2023-06-13
申请号:US17011959
申请日:2020-09-03
Applicant: Aptiv Technologies Limited
Inventor: Kun Zhao , Michael Arnold
CPC classification number: G08G1/163 , B60W30/12 , B60W60/00272 , G06N3/08 , G06V10/764 , G06V10/82 , G06V20/58 , G06V20/588 , B60W2420/42
Abstract: Disclosed herein are methods and systems for determining an attribute of an object at a pre-determined time point. Data representing a respective property of the object and a plurality of further objects at a plurality of time points different from the pre-determined time point are determined, and the data is arranged in an image-like data structure. The image-like data structure has a plurality of columns and a plurality of rows. The data is arranged in the image-like data structure such that each of one of the rows or the columns corresponds to respective properties of the object or of one of the plurality of further objects and each of the other of the rows or the columns corresponds to respective properties at one of the plurality of time points. The attribute is then determined using a pre-determined rule based on the image-like data structure.
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2.
公开(公告)号:US20210107532A1
公开(公告)日:2021-04-15
申请号:US17011959
申请日:2020-09-03
Applicant: Aptiv Technologies Limited
Inventor: Kun Zhao , Michael Arnold
Abstract: A method for determining an attribute of an object at a pre-determined time point comprises: determining data representing a respective property of the object and a plurality of further objects at a plurality of time points different from the pre-determined time point; arranging the data in an image-like data structure, the image-like data structure having a plurality of columns and a plurality of rows, wherein the data is arranged in the image-like data structure, so that each of one of the rows or the columns of the image-like data structure corresponds to respective properties of the object or of one of the plurality of further objects, and each of the other of the rows or the columns of the image-like data structure corresponds to respective properties at one of the plurality of time points; and determining the attribute using a pre-determined rule based on the image-like data structure.
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公开(公告)号:US10977500B2
公开(公告)日:2021-04-13
申请号:US16369914
申请日:2019-03-29
Applicant: Aptiv Technologies Limited
Abstract: The present invention relates to a method and an image processing system for determining the color of a street marking, by: capturing an image of a street, detecting a street marking as a set of pixels provided by the image, wherein the pixels include at least two different pieces of color information, determining a color score for the street marking by comparing said at least two different pieces of color information, and determining the color of the street marking by comparing the color score to at least one threshold value.
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公开(公告)号:US20190354779A1
公开(公告)日:2019-11-21
申请号:US16383858
申请日:2019-04-15
Applicant: Aptiv Technologies Limited
Abstract: A device for searching for a lane on which a vehicle can drive, wherein the device is configured to receive an image captured by a camera, the image showing an area in front of the vehicle, detect lane markings in the image, determine for each of the lane markings if the respective lane marking is of a first type indicating a road condition of a first type or a second type indicating a road condition of a second type, create lane candidates from the lane markings, divide the lane candidates into classes of lane candidates depending on the type of the lane markings of the lane candidates, and search the classes of lane candidates for a lane on which the vehicle can drive.
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5.
公开(公告)号:US20230242159A1
公开(公告)日:2023-08-03
申请号:US18155496
申请日:2023-01-17
Applicant: Aptiv Technologies Limited
Inventor: Kun Zhao , Maximilian Schaefer , Markus Buehren
CPC classification number: B60W60/0027 , B60W40/04 , B60W2554/80 , B60W2554/404
Abstract: Computer implemented method for target selection in the vicinity of a vehicle, comprising obtaining vehicle state information, the vehicle state information comprising dynamic information regarding the vehicle, predicting a first trajectory of the vehicle based on the vehicle state information for a first prediction time horizon, detecting road users in the vicinity of the vehicle, determining state information from the detected road users, the state information comprising dynamic information regarding the road users, predicting a second trajectory of the vehicle based on the vehicle state information and the road users state information for the first prediction time horizon and performing a first similarity comparison of the first predicted trajectory and the second predicted trajectory of the vehicle to determine whether the detected road users are a potential target of the vehicle for the first prediction time horizon.
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公开(公告)号:US10997434B2
公开(公告)日:2021-05-04
申请号:US16372817
申请日:2019-04-02
Applicant: Aptiv Technologies Limited
Inventor: Jittu Kurian , Kun Zhao , Mirko Meuter
Abstract: A method for lane marker recognition includes: providing a filter bank with a plurality of different pairs of filters adapted to detect the left edge and the right edge of a specific type of a lane marker, respectively; receiving an image of a road; dividing the image of a road into a plurality of image segments, wherein each image segment includes at least one row of pixels of the image of a road; and for each of the image segments: applying a plurality of the pairs of filters of the filter bank to the image segment to generate a plurality of filter outputs; and determining which of the filter outputs correspond to a lane marker by using geo-metric information and appearance based information, wherein the geometric in-formation describes allowable dimensions of a determined lane marker, and the appearance based information describes allowable pixel values of a determined lane marker.
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公开(公告)号:US20240012126A1
公开(公告)日:2024-01-11
申请号:US18344528
申请日:2023-06-29
Applicant: Aptiv Technologies Limited
Inventor: Kun Zhao , Thomas Kurbiel
IPC: G01S13/52 , G01S13/931
CPC classification number: G01S13/52 , G01S13/931
Abstract: The subject disclosure pertains to advanced driving assistance systems and autonomous driving systems for vehicles. For example, the subject disclosure provides a method that includes determining a plurality of detection points obtained by a sensor, the detection points being associated with a plurality of segments of a region of interest for the vehicle and representing objects in the plurality of segments. The method further includes, for each segment of the plurality of segments, encoding the plurality of detection points associated to the segment into a latent feature of the detection point, determining a fixed feature for the segment based on the latent features of the plurality of detection points, and encoding the fixed features of the plurality of segments to obtain a spatial correlation of static detection points among the segments, the spatial correlation of static detection points indicating a characteristic of a driving corridor for the vehicle.
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8.
公开(公告)号:US20220212660A1
公开(公告)日:2022-07-07
申请号:US17646634
申请日:2021-12-30
Applicant: Aptiv Technologies Limited
Inventor: Ido Freeman , Kun Zhao
IPC: B60W30/095 , G01S13/931 , G06N3/02 , B60W50/00
Abstract: A computer implemented method for determining weights for an attention based trajectory prediction comprises the following steps carried out by computer hardware components: receiving a sequence of a plurality of captures taken by a sensor; determining an unnormalized weight for a first capture of the sequence based on the first capture of the sequence; and determining a normalized weight for the first capture of the sequence based on the unnormalized weight for the first capture of the sequence and a normalized weight for a second capture of the sequence.
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公开(公告)号:US11010619B2
公开(公告)日:2021-05-18
申请号:US16383858
申请日:2019-04-15
Applicant: Aptiv Technologies Limited
Abstract: A device for searching for a lane on which a vehicle can drive, wherein the device is configured to receive an image captured by a camera, the image showing an area in front of the vehicle, detect lane markings in the image, determine for each of the lane markings if the respective lane marking is of a first type indicating a road condition of a first type or a second type indicating a road condition of a second type, create lane candidates from the lane markings, divide the lane candidates into classes of lane candidates depending on the type of the lane markings of the lane candidates, and search the classes of lane candidates for a lane on which the vehicle can drive.
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公开(公告)号:US10943131B2
公开(公告)日:2021-03-09
申请号:US16409035
申请日:2019-05-10
Applicant: Aptiv Technologies Limited
Inventor: Yu Su , Andre Paus , Kun Zhao , Mirko Meuter , Christian Nunn
Abstract: An image processing method includes: determining a candidate track in an image of a road, wherein the candidate track is modelled as a parameterized line or curve corresponding to a candidate lane marking in the image of a road; dividing the candidate track into a plurality of cells, each cell corresponding to a segment of the candidate track; determining at least one marklet for a plurality of said cells, wherein each marklet of a cell corresponds to a line or curve connecting left and right edges of the candidate lane marking; determining at least one local feature of each of said plurality of cells based on characteristics of said marklets; determining at least one global feature of the candidate track by aggregating the local features of the plurality of cells; and determining if the candidate lane marking represents a lane marking based on the at least one global feature.
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