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公开(公告)号:US11774574B2
公开(公告)日:2023-10-03
申请号:US17584277
申请日:2022-01-25
Applicant: Aptiv Technologies Limited
Inventor: Uri Iurgel , Stephanie Lessmann , Markus Stefer
Abstract: A computer implemented method for determining an angle of a detection comprises the following steps carried out by computer hardware components: acquiring a range rate of the detection; determining a pair of candidate angles of the detection based on the range rate; acquiring a beamvector of the detection; determining a correlation between the beamvector and a reference vector; and determining the angle of the detection based on the pair of candidate angles and based on the correlation.
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公开(公告)号:US11506511B2
公开(公告)日:2022-11-22
申请号:US17093357
申请日:2020-11-09
Applicant: Aptiv Technologies Limited
Inventor: Stephanie Lessmann , Ahmad Pishehvari
IPC: G01C21/00
Abstract: A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.
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公开(公告)号:US20220244373A1
公开(公告)日:2022-08-04
申请号:US17588081
申请日:2022-01-28
Applicant: Aptiv Technologies Limited
Inventor: Stephanie Lessmann , Wolfgang Doerr
IPC: G01S13/58 , G01S13/931
Abstract: Described is a way to process radar data for a radar sensor mounted on a vehicle to generate motion spectrum data for estimating ego-motion information of the vehicle. Data samples of each of a plurality of radar return signals received at each antenna element of the radar sensor are generated for each antenna element. Respective Doppler-processed data including a plurality of data values is calculated for each Doppler bin index. In generating a set of motion spectrum data, which comprises a plurality of data elements each calculated for a respective Doppler bin index and a respective spatial bin index, data values of the Doppler-processed data calculated for the Doppler bin index are selected to calculate a covariance matrix. A spectral estimation algorithm, which uses the covariance matrix, can determine a spatial spectrum value for each spatial bin index.
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公开(公告)号:US20220026568A1
公开(公告)日:2022-01-27
申请号:US17384493
申请日:2021-07-23
Applicant: Aptiv Technologies Limited
Inventor: Mirko Meuter , Jittu Kurian , Yu Su , Jan Siegemund , Zhiheng Niu , Stephanie Lessmann , Saeid Khalili Dehkordi , Florian Kästner , Igor Kossaczky , Sven Labusch , Arne Grumpe , Markus Schoeler , Moritz Luszek , Weimeng Zhu , Adrian Becker , Alessandro Cennamo , Kevin Kollek , Marco Braun , Dominic Spata , Simon Roesler
Abstract: A computer implemented method for detection of objects in a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring radar data from a radar sensor; determining a plurality of features based on the radar data; providing the plurality of features to a single detection head; and determining a plurality of properties of an object based on an output of the single detection head.
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公开(公告)号:US11500083B2
公开(公告)日:2022-11-15
申请号:US16241404
申请日:2019-01-07
Applicant: Aptiv Technologies Limited
Inventor: Ahmad Pishehvari , Stephanie Lessmann , Uri Iurgel , Lutz Roese-Koerner
IPC: G01S13/06 , B60W40/105 , B60W40/114 , G01S13/50
Abstract: A method is described for determining the position of a vehicle equipped with a radar system that includes at least one radar sensor adapted to receive radar signals emitted from at least one radar emitter of the radar system and reflected the radar sensor. The method comprises: acquiring at least one radar scan comprising a plurality of radar detection points, wherein each radar detection point is evaluated from a radar signal received at the radar sensor and representing a location in the vicinity of the vehicle; determining, from a database, a predefined map, wherein the map comprises at least one element representing a static landmark in the vicinity of the vehicle; matching at least a subset of the plurality of radar detection points of the at least one scan and the at least one element of the map; deter-mining the position of the vehicle based on the matching.
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公开(公告)号:US20210164800A1
公开(公告)日:2021-06-03
申请号:US17093357
申请日:2020-11-09
Applicant: Aptiv Technologies Limited
Inventor: Stephanie Lessmann , Ahmad Pishehvari
IPC: G01C21/00
Abstract: A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.
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公开(公告)号:US20200217943A1
公开(公告)日:2020-07-09
申请号:US16241404
申请日:2019-01-07
Applicant: Aptiv Technologies Limited
Inventor: Ahmad Pishehvari , Stephanie Lessmann , Uri Iurgel , Lutz Roese-Koerner
IPC: G01S13/06 , G01S13/50 , B60W40/114 , B60W40/105
Abstract: A method is described for determining the position of a vehicle equipped with a radar system that includes at least one radar sensor adapted to receive radar signals emitted from at least one radar emitter of the radar system and reflected the radar sensor. The method comprises: acquiring at least one radar scan comprising a plurality of radar detection points, wherein each radar detection point is evaluated from a radar signal received at the radar sensor and representing a location in the vicinity of the vehicle; determining, from a database, a predefined map, wherein the map comprises at least one element representing a static landmark in the vicinity of the vehicle; matching at least a subset of the plurality of radar detection points of the at least one scan and the at least one element of the map; deter-mining the position of the vehicle based on the matching.
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公开(公告)号:US10452999B2
公开(公告)日:2019-10-22
申请号:US15467684
申请日:2017-03-23
Applicant: Aptiv Technologies Limited
Inventor: Stephanie Lessmann , Mirko Meuter , Jens Westerhoff
Abstract: A method of generating a confidence measure for an estimation derived from images captured by a camera mounted on a vehicle includes: capturing consecutive training images by the camera while the vehicle is moving; determining ground-truth data for the training images; computing optical flow vectors from the training images and estimating a first output signal based on the optical flow vectors for each of the training images, the first output signal indicating an orientation of the camera; classifying the first output signal for each of the training images as a correct signal or a false signal depending on how good the first output signal fits to the ground-truth data; determining optical flow field properties for each of the training images derived from the training images; and generating a separation function that separates the optical flow field properties into two classes based on the classification of the first output signal.
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公开(公告)号:US20220260701A1
公开(公告)日:2022-08-18
申请号:US17650514
申请日:2022-02-09
Applicant: Aptiv Technologies Limited
Inventor: Wolfgang Doerr , Uri Iurgel , Stephanie Lessmann
IPC: G01S13/42 , G01S7/35 , G01S13/931
Abstract: A method is provided for estimating an angle of an object with respect to a vehicle. A transformation of reflected radar signals is calculated, wherein the result of the transformation depends on a range with respect to the vehicle. A long beam vector is generated for respective range bins provided by the transformation by rearranging the result of the transformation such that the respective long beam vector comprises elements of the transformation from radar all receiver elements for each range bin. A reference vector is calculated for each range bin based on a signal model which depends on the motion of the target object relative to the vehicle and which is parameterized regarding the angle of the target object. The long beam vector and the reference vector are correlated, and the angle of the target object is determined based on the correlation result.
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公开(公告)号:US20220244372A1
公开(公告)日:2022-08-04
申请号:US17588049
申请日:2022-01-28
Applicant: Aptiv Technologies Limited
Inventor: Stephanie Lessmann , Uri Iurgel , Wolfgang Doerr
IPC: G01S13/58 , G01S13/931
Abstract: A method of determining ego-motion information of a vehicle comprising a radar sensor having a plurality of antenna elements, comprising: acquiring motion spectrum comprising a plurality of data elements, each calculated for a respective one of a plurality of Doppler bin indices and for a respective one of a plurality of spatial bin indices, each spatial bin index indicating a respective angle-of-arrival of a radar return signal at the radar sensor; and determining the ego-motion information by solving a motion equation system comprising equations of motion generated using the motion spectrum data and each relating a respective value indicating a radial velocity, a respective value indicating an angular displacement, and a variable indicating a velocity of the vehicle.
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