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    Device and a method for searching for a lane on which a vehicle can drive
    11.
    发明授权
    Device and a method for searching for a lane on which a vehicle can drive 有权

    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

    Inventor： Kun Zhao ,  Yu Su

    IPC: G06K9/00 ,  G06T7/70

    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.

    Image based lane marking classification
    12.
    发明授权
    Image based lane marking classification 有权

    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

    IPC: G06K9/00 ,  B60W30/12

    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.

    Method of multi-sensor data fusion
    14.
    发明授权
    Method of multi-sensor data fusion 有权

    公开(公告)号：US11552778B2

    公开(公告)日：2023-01-10

    申请号：US16801296

    申请日：2020-02-26

    Applicant: APTIV TECHNOLOGIES LIMITED

    Inventor： Yu Su ,  Weimeng Zhu ,  Mirko Meuter

    IPC: H04L1/00 ,  H04L7/00 ,  G06N3/04 ,  G06N3/08 ,  B60W50/00

    Abstract: A method of multi-sensor data fusion includes determining a plurality of first data sets using a plurality of sensors, each of the first data sets being associated with a respective one of a plurality of sensor coordinate systems, and each of the sensor coordinate systems being defined in dependence of a respective one of a plurality of mounting positions for the sensors; transforming the first data sets into a plurality of second data sets using a transformation rule, each of the second data sets being associated with a unified coordinate system, the unified coordinate system being defined in dependence of at least one predetermined reference point; and determining at least one fused data set by fusing the second data sets.

    Method and Device for Training a Machine Learning Algorithm
    15.
    发明申请
    Method and Device for Training a Machine Learning Algorithm 有权

    公开(公告)号：US20220383146A1

    公开(公告)日：2022-12-01

    申请号：US17804652

    申请日：2022-05-31

    Applicant: Aptiv Technologies Limited

    Inventor： Markus Schoeler ,  Jan Siegemund ,  Christian Nunn ,  Yu Su ,  Mirko Meuter ,  Adrian Becker ,  Peet Cremer

    IPC: G06N5/02 ,  G01S7/41

    Abstract: A method is provided for training a machine-learning algorithm which relies on primary data captured by at least one primary sensor. Labels are identified based on auxiliary data provided by at least one auxiliary sensor. A care attribute or a no-care attribute is assigned to each label by determining a perception capability of the primary sensor for the label based on the primary data and based on the auxiliary data. Model predictions for the labels are generated via the machine-learning algorithm. A loss function is defined for the model predictions. Negative contributions to the loss function are permitted for all labels. Positive contributions to the loss function are permitted for labels having a care attribute, while positive contributions to the loss function for labels having a no-care attribute are permitted only if a confidence of the model prediction for the respective label is greater than a threshold.

    Method and a Device for Assigning a Bounding Box to an Object
    16.
    发明申请
    Method and a Device for Assigning a Bounding Box to an Object 有权

    公开(公告)号：US20220309760A1

    公开(公告)日：2022-09-29

    申请号：US17655064

    申请日：2022-03-16

    Applicant: Aptiv Technologies Limited

    Inventor： Yu Su

    IPC: G06V10/25 ,  G06V20/56 ,  G06V10/762 ,  G06V10/44 ,  G06T7/11

    Abstract: A method is provided for assigning a bounding box to an object in an environment of a vehicle. Data related to objects located in the environment of the vehicle are acquired via a sensor. Based on the data, a respective spatial location and a respective size of a plurality of preliminary bounding boxes are determined such that each preliminary bounding box covers one of the objects at least partly. A respective velocity of each preliminary bounding box is estimated based on the data. A subset of the plurality of preliminary bounding boxes being related to a respective one of the objects is selected, where the subset is selected based on the respective velocity of each of the preliminary bounding boxes. A final bounding box is assigned to the respective one of the objects by merging the preliminary bounding boxes of the corresponding subset.

    Methods and Systems for Object Detection
    17.
    发明申请
    Methods and Systems for Object Detection 有权

    公开(公告)号：US20220292806A1

    公开(公告)日：2022-09-15

    申请号：US17653208

    申请日：2022-03-02

    Applicant: Aptiv Technologies Limited

    Inventor： Yu Su ,  Markus Schoeler

    IPC: G06V10/40 ,  G06V20/56 ,  G01S17/931 ,  G01S17/86 ,  G06V10/82 ,  G06N3/04

    Abstract: A computer implemented method for object detection the following steps carried out by computer hardware components: determining an output of a first pooling layer based on input data; determining an output of a dilated convolution layer, provided directly after the first pooling layer, based on the output of the first pooling layer; determining an output of a second pooling layer, provided directly after the dilated convolution layer, based on the output of the dilated convolution layer; and carrying out the object detection based on at least the output of the dilated convolution layer or the output of the second pooling layer.

    Methods of processing and generating image data in a connectionist network
    18.
    发明授权
    Methods of processing and generating image data in a connectionist network 有权

    公开(公告)号：US11379746B2

    公开(公告)日：2022-07-05

    申请号：US16203124

    申请日：2018-11-28

    Applicant: Aptiv Technologies Limited

    Inventor： Farzin G. Rajabizadeh ,  Narges Milani ,  Daniel Schugk ,  Lutz Roese-Koerner ,  Yu Su ,  Dennis Mueller

    IPC: G06N7/00 ,  G06N3/08 ,  G06N3/04 ,  G06N20/00 ,  G06V10/44 ,  G06V20/58

    Abstract: A method of processing image data in a connectionist network comprises a plurality of units, wherein the method implements a multi-channel unit forming a respective one of the plurality of units, and wherein the method comprises: receiving, at the data input, a plurality of input picture elements representing an image acquired by means of a multi-channel image sensor, wherein the plurality of input picture elements comprise a first and at least a second portion of input picture elements, wherein the first portion of input picture elements represents a first channel of the image sensor and the second portion of input picture elements represents a second channel of the image sensor; processing of the first and at least second portion of input picture elements separately from each other; and outputting, at the data output, the processed first and second portions of input picture elements.

    DEVICE AND A METHOD FOR EXTRACTING DYNAMIC INFORMATION ON A SCENE USING A CONVOLUTIONAL NEURAL NETWORK
    20.
    发明申请
    DEVICE AND A METHOD FOR EXTRACTING DYNAMIC INFORMATION ON A SCENE USING A CONVOLUTIONAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20190325241A1

    公开(公告)日：2019-10-24

    申请号：US16374138

    申请日：2019-04-03

    Applicant: Aptiv Technologies Limited

    Inventor： Christian Nunn ,  Weimeng Zhu ,  Yu Su

    IPC: G06K9/00

    Abstract: A device for extracting dynamic information comprises a convolutional neural network, wherein the device is configured to receive a sequence of data blocks acquired over time, each of said data blocks comprising a multi-dimensional representation of a scene. The convolutional neural network is configured to receive the sequence as input and to output dynamic information on the scene in response, wherein the convolutional neural network comprises a plurality of modules, and wherein each of said modules is configured to carry out a specific processing task for extracting the dynamic information.

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