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公开(公告)号：US20220099456A1
公开(公告)日：2022-03-31
申请号：US17474988
申请日：2021-09-14
Applicant: Aptiv Technologies Limited
Inventor： Mateusz Wojcik , Mateusz Komorkiewicz , Filip Ciepiela , Daniel Dworak
IPC: G01C21/00
Abstract: A computer-implemented method for interpolation comprises the following steps carried out by computer hardware components: determining an image-like input data structure, the image-like input data structure comprising a plurality of data points; determining a plurality of reference data points as a subset of the plurality of data points of the image-like input data structure; determining an image-like temporary data structure based on the image-like input data structure and a pre-determined processing operation; replacing data points of the image-like temporary data structure corresponding to the plurality of reference data points by the plurality of reference data points to obtain an image-like updated temporary data structure; and determining an image-like output data structure based on the image-like updated temporary data structure.
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公开(公告)号：US10270981B2
公开(公告)日：2019-04-23
申请号：US15441893
申请日：2017-02-24
Applicant: Aptiv Technologies Limited
Inventor： Mirko Meuter , Mateusz Komorkiewicz , Rajat Sanyal , Christof Petig
Abstract: A method for processing high dynamic range data from a nonlinear camera includes; generating an input image comprising a plurality of pixels, each pixel having an initial pixel value, wherein the initial pixel values are generated using a camera transition curve; generating a first lookup table representing a combination of an inverse function and a re-compression function, the first lookup table having input values and output values, wherein each input value is linked to one output value, the inverse function is the inverse of the camera transition curve, the re-compression function is a smooth and continuous function having a slope at each input value which is greater than or equal to a corresponding slope of the camera transition curve, the first lookup table is generated such that the inverse function precedes the re-compression function; and generating a first image by converting the initial pixel values using the first lookup table.
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Patent Agency Ranking
公开(公告)号：US20230401443A1
公开(公告)日：2023-12-14
申请号：US18329999
申请日：2023-06-06
Applicant: Aptiv Technologies Limited
Inventor： Mateusz Komorkiewicz , Marcin Szelest
IPC: G06N3/08
CPC classification number: G06N3/08
Abstract: Disclosed is a computer-implemented method of training a neural network to select objects in a vicinity of a target vehicle, including: aggregating sensor data related to the plurality of vehicles; filtering the sensor data according to one or more conditions, said conditions identifying an action of an ADAS/AD system of at least one of the plurality of vehicles; identifying one or more objects in the vicinity of target vehicle based on the filtered sensor data; and using the identified one or more objects to train the neural network to determine potential objects that cause a triggering of an ADAS/AD system of another vehicle.
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公开(公告)号：US20220234588A1
公开(公告)日：2022-07-28
申请号：US17647336
申请日：2022-01-06
Applicant: Aptiv Technologies Limited
Inventor： Marcin Szelest , Mateusz Komorkiewicz
Abstract: A system for assessing progress of a data recording campaign performed to collect sensor data recorded by a sensor data recorder mounted on a vehicle, the system including a metadata generating apparatus arranged to process data acquired by a sensor module to generate metadata for the sensor data, the metadata comprising classifications of an attribute of a driving environment the vehicle was in during the acquisition of the sensor data into respective classes of a predefined set of classes of the attribute, and transmit the metadata to a remote metadata processing apparatus, which is arranged to determine whether the metadata comprises at least a predetermined number of classifications in a predefined class of the set of predefined classes and, based on the determination, generate an indicator for use in the data recording campaign.
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公开(公告)号：US11610407B2
公开(公告)日：2023-03-21
申请号：US17105211
申请日：2020-11-25
Applicant: Aptiv Technologies Limited
Inventor： Mateusz Komorkiewicz , Daniel Dworak , Mateusz Wojcik , Filip Ciepiela
IPC: G06V20/58 , G06T7/11 , G06T7/70 , G01S13/04 , G01S13/86 , G01S13/89 , G06N3/08 , G06N3/045 , G06V10/80
Abstract: A computer implemented method for determining an entry of an occupancy map of a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring first sensor data of a first sensor of the vicinity of the vehicle; acquiring second sensor data of a second sensor of the vicinity of the vehicle; determining a first sensor data portion of the first sensor data which corresponds to a potential object in the vicinity of the vehicle; based on the first sensor data portion, determining a second sensor data portion of the second sensor data which corresponds to a location of the potential object; and determining an entry of the occupancy map based on the first sensor data portion and the second sensor data portion.
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6.发明申请公开(公告)号：US20210303966A1
公开(公告)日：2021-09-30
申请号：US17183199
申请日：2021-02-23
Applicant: Aptiv Technologies Limited
Inventor： Filip Ciepiela , Mateusz Komorkiewicz , Mateusz Wójcik , Daniel Dworak
IPC: G06N3/04
Abstract: A computer implemented method for determining an output of a convolutional block of an artificial neural network based on input data comprises the following steps carried out by computer hardware components: performing an iteration with a plurality of iterations; wherein in each iteration, a convolution operation is performed; wherein in a first iteration, an input to the convolution operation is based on the input data; wherein in subsequent iterations, an input to the convolution operation at a present iteration is based on an output of the convolution operation at a preceding iteration; and determining the output of the convolutional block based on output of the convolutional operation of at least one iteration of the plurality of iterations.
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公开(公告)号：US20210165093A1
公开(公告)日：2021-06-03
申请号：US17105211
申请日：2020-11-25
Applicant: Aptiv Technologies Limited
Inventor： Mateusz Komorkiewicz , Daniel Dworak , Mateusz Wojcik , Filip Ciepiela
Abstract: A computer implemented method for determining an entry of an occupancy map of a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring first sensor data of a first sensor of the vicinity of the vehicle; acquiring second sensor data of a second sensor of the vicinity of the vehicle; determining a first sensor data portion of the first sensor data which corresponds to a potential object in the vicinity of the vehicle; based on the first sensor data portion, determining a second sensor data portion of the second sensor data which corresponds to a location of the potential object; and determining an entry of the occupancy map based on the first sensor data portion and the second sensor data portion.
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