公开(公告)号：US20230306838A1

公开(公告)日：2023-09-28

申请号：US18323249

申请日：2023-05-24

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Stefano Sabatini ,  Thomas Gilles ,  Dzmitry Tsishkou ,  Tao Yin

IPC: G08G1/01 ,  G08G1/16

CPC classification number: G08G1/0129 ,  G08G1/0137 ,  G08G1/0112 ,  G08G1/166

Abstract: A method of estimating an accident risk level of a first traffic participant based on interactions or negotiations of the first traffic participant with one or more other traffic participants is provided. The method includes generating a plurality of virtual trajectories of the first traffic participant based on a recorded initial position, a recorded final position of the first traffic participant, and a recorded initial position of each of the one or more other traffic participants. The plurality of virtual trajectories of the first traffic participant are associated with a plurality of virtual behaviors of the first traffic participant. The method further includes identifying a virtual trajectory that is most similar to a recorded trajectory of the first traffic participant. The method enables an automatic interpretation of an actual maneuver of the first traffic participant based on the virtual behavior of first traffic participant associated with the identified virtual trajectory.

公开(公告)号：US20240092382A1

公开(公告)日：2024-03-21

申请号：US18510257

申请日：2023-11-15

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Stefano Sabatini ,  Thomas Gilles ,  Dzmitry Tsishkou

IPC: B60W50/14 ,  B60W50/00 ,  B60W60/00 ,  G06N3/02 ,  G06T7/70 ,  G06V10/82 ,  G06V20/58

CPC classification number: B60W50/14 ,  B60W50/0097 ,  B60W60/0027 ,  G06N3/02 ,  G06T7/70 ,  G06V10/82 ,  G06V20/58 ,  B60W2050/143 ,  B60W2050/146 ,  B60W2420/42 ,  B60W2554/4041 ,  B60W2554/4042 ,  B60W2556/10 ,  B60W2556/45 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30252

Abstract: An apparatus for assisting a control system and/or a driver of a vehicle is provided. The apparatus comprises a processing circuitry configured to: determine for a plurality of positions within a vicinity of the vehicle, based on motion state information of the vehicle, a respective first probability measure that the vehicle will be at the respective position at one or more future time instants; determine for the plurality of positions, based on motion state information of at least one traffic object, a respective second probability measure that the at least one traffic object will be at the respective position at the one or more future time instants; and determine for the plurality of positions, a respective combined probability measure that the vehicle and the at least one traffic object will be at the respective position at the one or more future time instants.