Title:
OBJECT DETECTION USING RADAR AND MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2017/181643
Kind Code:
A1
Abstract:
A method and system for object detection in an environment based on machine learning, comprising: receiving radar data of an environment which was scanned by a radar system (102) mounted on a vehicle or moving object wherein the radar data may be a 3D point cloud, a 2D radar image or a 3D radar image; receiving further data of the environment which was scanned from a LIDAR system (104), a vision system (106) or both mounted on a vehicle or moving object; applying machine learning including performing object detection based on the received radar data and the received further data and a dataset, identifying at least one object feature comprising one of a type, location, distance, orientation, size or speed of an object, and updating the dataset based on a detected object or the identified object feature.
Inventors:
ROHANI MOHSEN (CA)
ZHANG SONG (CA)
CHEN HAO (CA)
ZHANG SONG (CA)
CHEN HAO (CA)
Application Number:
PCT/CN2016/103261
Publication Date:
October 26, 2017
Filing Date:
October 25, 2016
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G01S13/86; G01S7/41; G01S17/89; G06N20/00
Foreign References:
| US9097800B1 | 2015-08-04 | |||
| CN101189533A | 2008-05-28 | |||
| CN104252630A | 2014-12-31 | |||
| CN103576154A | 2014-02-12 | |||
| CN204398994U | 2015-06-17 | |||
| FR2958769A1 | 2011-10-14 | |||
| US20030154010A1 | 2003-08-14 |
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