公开(公告)号：US20220375213A1

公开(公告)日：2022-11-24

申请号：US17880318

申请日：2022-08-03

Applicant: Huawei Technologies Co., Ltd.

Inventor： Hang Xu ,  Zhili Liu ,  Fengwei Zhou ,  Jiawei Li ,  Xiaodan Liang ,  Zhenguo Li ,  Li Qian

IPC: G06V10/82 ,  G06V10/77 ,  G06N3/063 ,  G06V10/28 ,  G06V10/774

Abstract: A processing apparatus includes a collection module and a training module, the training module includes a backbone network and a region proposal network (RPN) layer, the backbone network is connected to the RPN layer, and the RPN layer includes a class activation map (CAM) unit. The collection module is configured to obtain an image, where the image includes an image with an instance-level label and an image with an image-level label. The backbone network is used to output a feature map of the image based on the image obtained by the collection module.

公开(公告)号：US12154352B2

公开(公告)日：2024-11-26

申请号：US18064016

申请日：2022-12-09

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xinyue Cai ,  Hang Xu ,  Wei Zhang ,  Zhen Yang ,  Zhenguo Li

IPC: G06V20/56 ,  G06T5/20 ,  G06T7/11 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82

Abstract: This disclosure discloses lane line detection methods and devices. In an implementation, features extracted by different layers of the neural network are fused to obtain a fused second feature map, so that the second feature map obtained through fusion processing has a plurality of layers of features. The fused second feature map has a related feature of a low-layer receptive field and a related feature of a high-layer receptive field. Afterwards, an output predicted lane line set is divided into groups, where each predicted lane line in each group has an optimal prediction interval.

公开(公告)号：US20220261659A1

公开(公告)日：2022-08-18

申请号：US17738685

申请日：2022-05-06

Applicant: Huawei Technologies Co., Ltd.

Inventor： Hang Xu ,  Zhenguo Li ,  Wei Zhang ,  Xiaodan Liang ,  Chenhan Jiang

IPC: G06N3/10 ,  G06N3/08 ,  G06N3/04

Abstract: This application provides a method and related apparatus for determining a neural network in the field of artificial intelligence. The method includes: obtaining a plurality of initial search spaces; determining M candidate neural networks based on the plurality of initial search spaces, where the candidate neural network includes a plurality of candidate subnetworks, the plurality of candidate subnetworks belong to the plurality of initial search spaces, and any two of the plurality of candidate subnetworks belong to different initial search spaces; evaluating the M candidate neural networks to obtain M evaluation results; and determining N candidate neural networks from the M candidate neural networks based on the M evaluation results, and determining N first target neural networks based on the N candidate neural networks. According to the method and the related apparatus provided in this application, a combined neural network with relatively high performance can be obtained.

公开(公告)号：US11955710B2

公开(公告)日：2024-04-09

申请号：US17311198

申请日：2018-12-07

Applicant: Huawei Technologies Co., Ltd.

Inventor： Hanyang Wang ,  Hang Xu ,  Steven Gao ,  Hai Zhou

IPC: H01Q1/52 ,  H01Q1/48 ,  H01Q21/06 ,  H01Q21/24

CPC classification number: H01Q1/523 ,  H01Q1/48 ,  H01Q21/062 ,  H01Q21/24

Abstract: An antenna structure includes a first signal connector and a second signal connector. The antenna structure further includes a cavity antenna defined by a set of planar walls. The cavity antenna is coupled to the first signal connector and configured to emit a field polarized linearly in a first direction when driven by a signal at the first signal connector. The antenna structure further includes a dipole antenna defined by a pair of arms that are integrated with a wall of the cavity antenna. The dipole antenna is coupled to the second signal connector and configured to a field polarized linearly in a second direction offset from the first direction when driven by a signal at the second signal connector.

公开(公告)号：US20220006183A1

公开(公告)日：2022-01-06

申请号：US17311198

申请日：2018-12-07

Applicant: Hanyang WANG ,  Huawei Technologies Co., Ltd.

Inventor： Hang Xu ,  Steven Gao ,  Hanyang Wang ,  Hai Zhou

IPC: H01Q1/52 ,  H01Q21/24 ,  H01Q1/48 ,  H01Q21/06

Abstract: An antenna structure includes a first signal connector and a second signal connector. The antenna structure further includes a cavity antenna defined by a set of planar walls. The cavity antenna is coupled to the first signal connector and configured to emit a field polarized linearly in a first direction when driven by a signal at the first signal connector. The antenna structure further includes a dipole antenna defined by a pair of arms that are integrated with a wall of the cavity antenna. The dipole antenna is coupled to the second signal connector and configured to a field polarized linearly in a second direction offset from the first direction when driven by a signal at the second signal connector.