公开(公告)号：US20240001930A1

公开(公告)日：2024-01-04

申请号：US18347051

申请日：2023-07-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Weilong Hu ,  Yabing Zhou ,  Huawei Liu

IPC: B60W40/04 ,  B60W60/00 ,  B60W40/06 ,  B60W50/14 ,  G06V10/764 ,  G06V10/80 ,  G06V20/56

CPC classification number: B60W40/04 ,  B60W60/0061 ,  B60W60/001 ,  B60W40/06 ,  B60W50/14 ,  G06V10/764 ,  G06V10/80 ,  G06V20/56 ,  B60W2552/00

Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

公开(公告)号：US11724700B2

公开(公告)日：2023-08-15

申请号：US17029561

申请日：2020-09-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Weilong Hu ,  Yabing Zhou ,  Huawei Liu

IPC: B60W40/04 ,  B60W60/00 ,  B60W40/06 ,  B60W50/14 ,  G06V10/764 ,  G06V10/80 ,  G06V20/56

CPC classification number: B60W40/04 ,  B60W40/06 ,  B60W50/14 ,  B60W60/001 ,  B60W60/0061 ,  G06V10/764 ,  G06V10/80 ,  G06V20/56 ,  B60W2552/00

Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

公开(公告)号：US12179767B2

公开(公告)日：2024-12-31

申请号：US18347051

申请日：2023-07-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Weilong Hu ,  Yabing Zhou ,  Huawei Liu

IPC: B60W40/04 ,  B60W40/06 ,  B60W50/14 ,  B60W60/00 ,  G06V10/764 ,  G06V10/80 ,  G06V20/56

Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

公开(公告)号：US20210009156A1

公开(公告)日：2021-01-14

申请号：US17029561

申请日：2020-09-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Weilong Hu ,  Yabing Zhou ,  Huawei Liu

IPC: B60W60/00 ,  B60W40/06 ,  B60W40/04 ,  B60W50/14

Abstract: An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.