High-precision map crowdsourcing system based on optimal time-stop rule and data collection method of system

A crowdsourcing, high-precision technology, applied in the high-precision map crowdsourcing system and its data collection field, can solve the problem of inability to efficiently obtain road environment data and update high-precision maps in real time, so as to ensure reliability and quality. , the effect of improving efficiency
CN112766766APending Publication Date: 2021-05-07SOUTH CHINA UNIV OF TECH
0 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2021-05-07

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a high-precision map crowdsourcing system based on an optimal time-stop rule and a data collection method of the system. The system comprises a task issuing module, a member optimization module and an optimal time stop module. The task issuing module is used for issuing a high-precision map crowdsourcing task; the member optimization module is used for selecting superior participants from the candidate participant set, receiving data of the superior participants and providing rewards for the superior participants; and the optimal time stop module controls the stop opportunity of the crowdsourcing task of the high-precision map to maximize the crowdsourcing utility. Based on the system, the invention provides the data collection method of the high-precision map crowdsourcing system based on the optimal time-stop rule. According to the method, sufficient data sources are provided for updating of the high-precision map, the cost of data collection is reduced, and updating of the high-precision map is more real-time and efficient.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of urban intelligent transportation, in particular to a high-precision map crowdsourcing system based on optimal time-stop rules and a data collection method thereof. Background technique

[0002] Nowadays, unmanned driving is developing rapidly. Perception, as an important module in unmanned driving, is the prerequisite for unmanned vehicles to drive safely on the road. Sensors such as cameras and lidar are the mainstream means for unmanned vehicles to perceive the surrounding environment. However, there are huge challenges in terms of cost to perceive the surrounding environment through sensors. As an emerging perception method, high-precision maps make up for the high cost of sensors. Therefore, how to obtain and update high-precision maps conveniently and quickly is the main task at present. In order to collect high-precision map data, map vendors and driverless car vendors, such as Baidu, Gaode, TomTo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More