公开(公告)号：US20220260671A1

公开(公告)日：2022-08-18

申请号：US17597761

申请日：2019-09-24

Applicant: Intel Corporation

Inventor： Chulong CHEN ,  Zhibin YU ,  Alon COHEN ,  Qing XU ,  Saiveena KESARAJU ,  Oren SHALITA

IPC: G01S7/00 ,  G01S7/02 ,  G01S13/931

Abstract: Methods, apparatus, systems and articles of manufacture to manage automotive radar coordination are disclosed. An example apparatus includes a resource manager to retrieve radar unit requirements, the radar unit requirements including at least one of a unit ID, current time information, vehicle position, and radar resource requirements, a resource multiplexer to perform at least one of time multiplexing and frequency multiplexing according to the radar resource requirements, and a resource hopper to at least perform one of frequency hopping and time hopping in response to detecting an amount of interference from other vehicles that exceeds an interference threshold.

公开(公告)号：US20220196798A1

公开(公告)日：2022-06-23

申请号：US17375017

申请日：2021-07-14

Applicant: Intel Corporation

Inventor： Chulong CHEN ,  Wenling Margaret HUANG ,  Saiveena KESARAJU ,  Ivan SIMÕES GASPAR ,  Pradyumna S. SINGH ,  Biji GEORGE ,  Dipan Kumar MANDAL ,  Om Ji OMER ,  Sreenivas SUBRAMONEY ,  Yuval AMIZUR ,  Leor BANIN ,  Hao CHEN ,  Nir DVORECKI ,  Shengbo XU

IPC: G01S7/41 ,  H01Q21/06 ,  G01S13/89 ,  G01S7/40 ,  G01S13/58

Abstract: According to various embodiments, a radar device is described comprising a processor configured to generate a scene comprising an object based on a plurality of receive wireless signals, generate a ground truth object parameter of the object and generate a dataset representative of the scene and a radar detector configured to determine an object parameter of the object using a machine learning algorithm and the dataset, determine an error value of the machine learning algorithm using a cost function, the object parameter, and the ground truth object parameter and adjust the machine learning algorithm values to reduce the error value.