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

IPC: B60W60/00 ,  B60W40/04

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.

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

IPC: G01C21/36 ,  G06V20/56 ,  G06V20/58

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.

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

IPC: B60W60/00 ,  G06N3/08 ,  B60W50/00

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.