公开(公告)号：US20230290134A1

公开(公告)日：2023-09-14

申请号：US18019450

申请日：2020-09-25

Applicant: Intel Corporation

Inventor： Ping Hu ,  Anbang Yao ,  Xiaolong Liu ,  Yurong Chen ,  Dongqi Cai

IPC: G06V10/82 ,  G06N3/0464 ,  G06V40/16 ,  G06V10/77

CPC classification number: G06V10/82 ,  G06N3/0464 ,  G06V40/171 ,  G06V10/7715

Abstract: A method and system of multiple facial attributes recognition using highly efficient neural networks.

公开(公告)号：US11940287B2

公开(公告)日：2024-03-26

申请号：US17763230

申请日：2019-12-27

Applicant: INTEL CORPORATION ,  MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Yuqing Hou ,  Xiaolong Liu ,  Ignacio J. Alvarez ,  Xiangbin Wu

IPC: G01C21/34 ,  G01C21/36

CPC classification number: G01C21/3492 ,  G01C21/3461 ,  G01C21/3614

Abstract: Provided is a device and a method for route planning. The route planning device (100) may include a data interface (128) coupled to a road and traffic data source (160); a user interface (170) configured to display a map and receive a route planning request from a user, the route planning request including a line of interest on the map; a processor (110) coupled to the data interface (128) and the user interface (170). The processor (110) may be configured to identify the line of interest in response to the route planning request; acquire, via the data interface (128), road and traffic information associated with the line of interest from the road and traffic data source (160); and calculate, based on the acquired road and traffic information, a navigation route that matches or corresponds to the line of interest and meets or satisfies predefined road and traffic constraints.

公开(公告)号：US11692830B2

公开(公告)日：2023-07-04

申请号：US16831104

申请日：2020-03-26

Applicant: Intel Corporation

Inventor： Xiaolong Liu ,  Zhigang Wang ,  Dawei Wang ,  Haitao Ji ,  Qianying Zhu ,  Fei Li ,  Ignacio J Alvarez

IPC: G01C21/30 ,  G06K9/00 ,  G01C21/36 ,  G06V20/56

CPC classification number: G01C21/30 ,  G01C21/3602 ,  G06V20/588

Abstract: The present disclosure relates to real-time localization error correction of an autonomous vehicle (AV). A processor for real-time localization error correction of the AV is provided. The processor is configured to retrieve a reference landmark around the AV from a map aggregating server (MAS), wherein the AV is configured to interact with the MAS for real-time localization; detect, in real time, a ground truth landmark corresponding to the reference landmark, according to image data captured by one or more image capture devices installed on the AV; and determine a deviation between the ground truth landmark and the reference landmark as a real-time correction value for the real-time localization of the AV.

公开(公告)号：US20240331371A1

公开(公告)日：2024-10-03

申请号：US18573973

申请日：2021-11-30

Applicant: Intel Corporation

Inventor： Yurong Chen ,  Anbang Yao ,  Ming Lu ,  Dongqi Cai ,  Xiaolong Liu

IPC: G06V10/82

CPC classification number: G06V10/82

Abstract: Methods and apparatus to perform parallel double-batched self-distillation in resource-constrained image recognition environments are disclosed herein. Example apparatus disclosed herein are to identify a source data batch and an augmented data batch, the augmented data generated based on at least one data augmentation technique. Disclosed example apparatus is also to share one or more parameters between a student neural network corresponding to the source data batch and a teacher neural network corresponding to the augmented data batch, the one or more parameters including one or more convolution layers to be shared between the teacher neural network and the student neural network. Disclosed example apparatus is further to align knowledge corresponding to the teacher neural network and the student neural network, the knowledge corresponding to the one or more parameters shared between the student neural network and the teacher neural network.