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1. CN112513854 - High-precision map, high-precision map generation method and use method

Office
China
Application Number 202080004323.1
Application Date 08.07.2020
Publication Number 112513854
Publication Date 16.03.2021
Publication Kind A
IPC
G06F 21/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
60Protecting data
62Protecting access to data via a platform, e.g. using keys or access control rules
G06F 16/29
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
29Geographical information databases
G01C 21/34
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
CPC
G06F 16/29
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
29Geographical information databases
G06F 21/6254
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
60Protecting data
62Protecting access to data via a platform, e.g. using keys or access control rules
6218to a system of files or objects, e.g. local or distributed file system or database
6245Protecting personal data, e.g. for financial or medical purposes
6254by anonymising data, e.g. decorrelating personal data from the owner's identification
G01C 21/34
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
26specially adapted for navigation in a road network
34Route searching; Route guidance
Applicants HUAWEI TECHNOLOGIES CO., LTD.
华为技术有限公司
Inventors LYU TAO
吕涛
LI MING
李明
Title
(EN) High-precision map, high-precision map generation method and use method
(ZH) 一种高精度地图、高精度地图生成方法和使用方法
Abstract
(EN) The invention relates to the field of automatic driving in the field of artificial intelligence, and provides a high-precision map generation method, a high-precision map generated based on the methodand a use method of the high-precision map. According to the method, the high-precision map is split into the general data and the sensitive data in the generation process of the high-precision map,and the general data and the sensitive data have the same map element ID, so that the high-precision map can be subjected to category splitting, and the high-precision map can be stored separately orstored in a unified mode according to the types of the split data. For general data, a use method is obtained according to general map data, for sensitive data, the technical scheme provides single-point object output, a business party can request and obtain the sensitive data of a single-point object according to specific business requirements, and the sensitive data is deleted in time after use,so that the user experience is improved. Therefore, a service party cannot have sensitive data for a long time and cannot have a large amount of sensitive data in the same time period. Through the technical scheme of the invention, the law compliance of using high-precision map data in the field of automatic driving can be solved, so that the popularization of the application of the high-precision map in the field of automatic driving is greatly facilitated.
(ZH) 本申请涉及人工智能领域的自动驾驶领域,提供了一种高精度地图的生成方法,基于该方法生成的高精度地图以及一种高精度地图的使用方法。本申请的技术方案,通过在高精度地图的生成过程中将高精度地图拆分为通用数据和敏感数据,并且通用数据和敏感数据具有相同的地图元素ID,从而可以将高精度地图进行类别拆分,并依据拆分后的数据类型进行分别存储或者统一存储。对于通用数据,按照一般的地图数据获取使用方法即可,对于敏感数据,本申请技术方案提供单点对象输出,业务方可以依据具体的业务需求请求并获取到单点对象的敏感数据,在使用完之后将敏感数据及时地删除,从而使得业务方不能长期拥有敏感数据,也不能在同一时段大量地拥有敏感数据。通过本申请的技术方案,可以使得在自动驾驶领域使用高精度地图数据的法律合规性得到解决,从而极大地有利于普及高精度地图在自动驾驶领域的应用。
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