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1. WO2020071573 - LOCATION INFORMATION SYSTEM USING DEEP LEARNING AND METHOD FOR PROVIDING SAME

Publication Number WO/2020/071573
Publication Date 09.04.2020
International Application No. PCT/KR2018/012092
International Filing Date 15.10.2018
IPC
G01C 21/36 2006.01
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in groups G01C1/-G01C19/104
26specially adapted for navigation in a road network
34Route searching; Route guidance
36Input/output arrangements for on-board computers
H04W 64/00 2009.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
64Locating users or terminals for network management purposes, e.g. mobility management
CPC
G01C 21/005
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in preceding groups G01C1/00-G01C19/00
005with correlation of navigation data from several sources, e.g. map or contour matching
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06T 17/05
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
17Three dimensional [3D] modelling, e.g. data description of 3D objects
05Geographic models
G06T 2207/10032
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10032Satellite or aerial image; Remote sensing
G06T 5/001
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
5Image enhancement or restoration
001Image restoration
G06T 7/70
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
70Determining position or orientation of objects or cameras
Applicants
  • (주)한국플랫폼서비스기술 KOREA PLATFORM SERVICE TECHNOLOGY CO., LTD. [KR]/[KR]
Inventors
  • 이준혁 LEE, Jun Hyeok
Agents
  • 황창옥 HWANG, Chang Og
Priority Data
10-2018-011871205.10.2018KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) LOCATION INFORMATION SYSTEM USING DEEP LEARNING AND METHOD FOR PROVIDING SAME
(FR) SYSTÈME D'INFORMATIONS D'EMPLACEMENT UTILISANT UN APPRENTISSAGE PROFOND ET SON PROCÉDÉ D'OBTENTION
(KO) 딥러닝을 이용한 위치정보 시스템 및 그 제공방법
Abstract
(EN)
The present invention relates to a location information system using deep learning and a method for providing same, so as to provide location information and services by deep learning on the basis of a SLAM technique. To this end, the present invention provides a location information system using deep learning, comprising: a main server (10) consisting of an image treating unit (11) for generating a virtual map after processing and treating an externally-inputted image, a communication unit (12) for communicating with a local server (20) and a terminal (30), and a data storage unit (13) for storing data; the local server (20), connected to the main server (10), for transmitting information input for each region to the main server (10) and distributing and storing regional information; and the terminal (30). In addition, the present invention provides a method comprising: an image information acquisition step (S10); a keyframe extraction step (S20); a SLAM treatment step (S30); a data processing step (S40); a processed image information modification step (S50); a landmark extraction step (S60); a virtual map generation step (S70); and a location information provision step (S80).
(FR)
La présente invention concerne un système d'informations d'emplacement utilisant un apprentissage profond et son procédé d'obtention, permettant d'obtenir des informations d'emplacement et des services par apprentissage profond sur la base d'une technique SLAM. La présente invention concerne donc un système d'informations d'emplacement utilisant un apprentissage profond, comprenant : un serveur principal (10) comprenant une unité de traitement d'image (11) servant à générer une carte virtuelle après traitement et à traiter une image entrée par l'extérieur, une unité de communication (12) servant à communiquer avec un serveur local (20) et un terminal (30), et une unité de stockage de données (13) servant à stocker des données; le serveur local (20), connecté au serveur principal (10), servant à transmettre des informations entrées pour chaque région au serveur principal (10) et à distribuer et à stocker des informations régionales; et le terminal (30). De plus, la présente invention concerne un procédé comprenant : une étape d'acquisition d'informations d'image (S10); une étape d'extraction d'image clé (S20); une étape de traitement SLAM (S30); une étape de traitement de données (S40); une étape de modification d'informations d'image traitée (S50); une étape d'extraction de point de repère (S60); une étape de génération de carte virtuelle (S70); et une étape de fourniture d'informations d'emplacement (S80).
(KO)
본 발명은 딥러닝을 이용한 위치정보 시스템 및 그 제공방법에 대한 것으로, SLAM기법을 기반으로 딥러닝하여 위치정보 및 서비스를 제공하게 되는 것이다. 이를 위해, 외부에서 입력되는 영상을 가공 및 처리한 후 가상지도를 생성하는 영상처리유니트(11)와 로컬서버(20) 및 단말기(30)와 통신을 수행하는 통신유니트(12) 및 데이터를 저장하는 데이터저장유니트(13)로 구성되는 메인서버(10);와 상기 메인서버(10)에 연결되어 지역별로 입력되는 정보를 메인서버(10)에 전송해주고, 지역별 정보를 분산저장하는 로컬서버(20); 및 단말기(30)로 구성되는 것을 특징으로 하는 딥러닝을 이용한 위치정보 시스템을 제공하게 되고, 영상정보 획득단계(S10), 키프레임 추출단계(S20), SLAM처리단계(S30), 데이터 가공단계(S40), 가공영상정보 수정단계(S50), 랜드마크 추출단계(S60), 가상지도 생성단계(S70), 위치정보 제공단계(S80)로 구성되는 방법을 제공하게 된다.
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Latest bibliographic data on file with the International Bureau