Patent · US Active

Object detection using radar and machine learning

US10353053B2 · kind B2 · utility

9Cited by

8References

20Claims

0Family size

Assignee

Huawei Technologies Co., Ltd. · CN

Inventors

Mohsen Rohani · Gatineau, CA
Song Zhang · 安丰镇, CN
Hao Chen · Beijing, CN

Key dates

Filing date	Sep 12, 2016
Grant date	Jul 16, 2019
Priority date	—
Expiry date	Jun 18, 2037

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A method and system for using one or more radar systems for object detection based on machine learning in an environment is disclosed. A scanning radar or combination of radars mounted on a vehicle or moving object scans the environment to acquire information. The radar data may be a 3D point cloud, 2D radar image or 3D radar image. The radar data may also be combined with data from LIDAR, vision or both. A machine learning algorithm is then applied to the acquired data to detect dynamic or static objects within the environment, and identify at least one object feature comprising one of a type, location, distance, orientation, size or speed of an object.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.