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Patent Agency Ranking
11.发明申请公开(公告)号：US20230048926A1
公开(公告)日：2023-02-16
申请号：US17820015
申请日：2022-08-16
Applicant: Aptiv Technologies Limited
Inventor： Thomas Kurbiel , Maximilian Schaefer , Kun Zhao , Markus Bühren
Abstract: A computer-implemented method for predicting properties of a plurality of objects in a vicinity of a vehicle includes multiple steps that can be carried out by computer hardware components. The method includes determining a grid map representation of road-users perception data, with the road-users perception data including tracked perception results and/or untracked sensor intermediate detections. The method also includes determining a grid map representation of static environment data based on data obtained from a perception system and/or a pre-determined map. The method further includes determining the properties of the plurality of objects based on the grid map representation of road-users perception data and the grid map representation of static environment data.
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公开(公告)号：US20220242453A1
公开(公告)日：2022-08-04
申请号：US17649672
申请日：2022-02-01
Applicant: Aptiv Technologies Limited
Inventor： Lukas Hahn , Maximilian Schaefer , Kun Zhao , Frederik Lenard Hasecke , Yvonne Schnickmann , Andre Paus
Abstract: The prediction system for predicting an information related to a pedestrian has a tracking module that detects and tracks in real-time a pedestrian in an operating area, from sensor data; a machine-learning prediction module that performs a prediction of information at future times related to the tracked pedestrian using a machine-learning algorithm from input data including data of the tracked pedestrian transmitted by the tracking module and map data of the operating area; a pedestrian behavior assessment module that determines additional data of the tracked pedestrian representative of a real time behavior of the pedestrian, and said additional data of the tracked pedestrian is used by the machine-learning prediction module as another input data to perform the prediction.
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公开(公告)号：US20210271252A1
公开(公告)日：2021-09-02
申请号：US17178198
申请日：2021-02-17
Applicant: Aptiv Technologies Limited
Inventor： Kun Zhao , Abdallah Alashqar , Mirko Meuter
Abstract: A method for determining information on an expected trajectory of an object comprises: determining input data being related to the expected trajectory of the object; determining first intermediate data based on the input data using a machine-learning method; determining second intermediate data based on the input data using a model-based method; and determining the information on the expected trajectory of the object based on the first intermediate data and based on the second intermediate data.
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公开(公告)号：US20210192347A1
公开(公告)日：2021-06-24
申请号：US17125783
申请日：2020-12-17
Applicant: Aptiv Technologies Limited
Inventor： Kun Zhao , Ido Freeman
Abstract: Computer-implemented method for determining continuous information on an expected trajectory of an object, the method comprising at least the following steps carried out by computer hardware components: determining data related to an expected trajectory of an object; and determining at least one parameter value for a continuous function on the basis of the data, wherein the continuous function and the at least one parameter value represent continuous information on the expected trajectory of the object.
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公开(公告)号：US20190318175A1
公开(公告)日：2019-10-17
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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