公开(公告)号：US20240239358A1

公开(公告)日：2024-07-18

申请号：US18620087

申请日：2024-03-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiaoli She ,  Yeyang Fang ,  Shuaijun Li

IPC: B60W50/029 ,  B60W50/02 ,  B60W60/00

CPC classification number: B60W50/029 ,  B60W50/0205 ,  B60W60/001 ,  B60W2050/0215

Abstract: A vehicle control method includes obtaining sensor status information and autonomous driving function information, where the sensor status information includes information indicating that one or more sensors are in a failed state. The autonomous driving function information indicates a currently running autonomous driving function. The autonomous driving function includes a plurality of running conditions, and implementation of each running condition is related to one or more sub-functions. A driving policy is implemented based on the impact of a failure of the one or more sensors on the running condition and the currently running autonomous driving function.

公开(公告)号：US20230237811A1

公开(公告)日：2023-07-27

申请号：US18187508

申请日：2023-03-21

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Darya Frolova ,  Shahar Ben Ezra ,  Pavel Kisilev ,  Xiaoli She ,  Yu Xie

IPC: G06V20/58 ,  G06V20/56 ,  G06T5/00 ,  G06V10/82

CPC classification number: G06V20/58 ,  G06V20/588 ,  G06T5/002 ,  G06V10/82 ,  G06V2201/07

Abstract: A method and a computing device for object detection and tracking from a video input are described. The method and the computing device may be used to, for example, track objects of interest, such as lane markings, in traffic. A plurality of frames corresponding to a video may be analyzed in a spatiotemporal domain by a neural network. The neural network may be trained using data synthesized in the spatiotemporal domain.

公开(公告)号：US11872999B2

公开(公告)日：2024-01-16

申请号：US17018505

申请日：2020-09-11

Applicant: Huawei Technologies Co., Ltd.

Inventor： Xiaoli She ,  Jianyong Cai ,  Junqiang Shen ,  Qi Chen

IPC: B60W50/04 ,  B60W30/095 ,  B60W50/08 ,  B60W50/10 ,  B60W30/18 ,  B60W30/182 ,  B60W30/08

CPC classification number: B60W50/045 ,  B60W30/08 ,  B60W30/095 ,  B60W30/182 ,  B60W30/18009 ,  B60W30/18159 ,  B60W30/18163 ,  B60W50/082 ,  B60W50/10 ,  B60W50/08 ,  B60W2520/10 ,  B60W2520/105 ,  B60W2520/12 ,  B60W2520/125 ,  B60W2552/05 ,  B60W2554/40 ,  B60W2554/402 ,  B60W2554/80 ,  B60W2554/802 ,  B60W2554/803 ,  B60W2554/804 ,  B60W2556/00

Abstract: A self-driving safety evaluation method, including determining RB based on a risk value of a vehicle in a shadow driving mode in a first measurement unit, where RB is a risk value of the vehicle in the shadow driving mode in a plurality of measurement units, and determining RC based on a risk value of the vehicle in a self-driving mode based on a preset route in the first measurement unit, where RC is a risk value of the vehicle in the self-driving mode based on the preset route in the measurement units, where RB and RC are used to determine whether safety of the vehicle in the self-driving mode meets a requirement.