Reverse auction method based on participant contribution in high-precision map crowdsourcing

A reverse auction, participant technology, used in buying/lease transactions, data processing applications, instruments, etc.

Active Publication Date: 2021-09-10
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in order to ensure the safety and reliability of unmanned driving, high-precision maps need long-term, large-scale real-time updates to maintain the

Method used

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  • Reverse auction method based on participant contribution in high-precision map crowdsourcing
  • Reverse auction method based on participant contribution in high-precision map crowdsourcing
  • Reverse auction method based on participant contribution in high-precision map crowdsourcing

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Embodiment Construction

[0071] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0072] Such as figure 1 As shown, the present invention provides a reverse auction method based on participant contributions in high-precision map crowdsourcing, and the specific conditions are as follows:

[0073] S1. The crowdsourcing platform releases the task requirements for the nth round of high-precision map crowdsourcing, and recruits vehicles to participate in crowdsourcing; among them, the crowdsourcing platform is required to release the high-precision map crowdsourcing task requirements for the nth round:

[0074] Time range, including task start time and task end time; for example, the start time of a round of crowdsourcing tasks is 0:00 on May 6, 2021, and the task end time is 00:00 on May 7, 2021. The time The span is 24 hours;

[0075] Spatial range, in...

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Abstract

The invention discloses a reverse auction method based on participant contribution in high-precision map crowdsourcing. The method comprises the steps that a platform recruits intelligent vehicles to participate in crowdsourcing; the participant vehicle collects road semantic data and uploads a coverage set and a quotation; the platform calculates real contributions and potential contributions of the participants according to the coverage set, and selects a winning vehicle set in combination with offers of the vehicles; the platform gives a reward to the winner, obtains corresponding sensing data, and provides virtual participation points for the loser; and the loser calculates the return on investment and decides whether to quit or not. According to the method, crowdsourcing participants are set as intelligent vehicles with semantic output capability, road priorities are quantified through semantic perception degrees of different stages of a target road, and participant contributions are further calculated. According to the method, the contribution difference of the participants to the map crowdsourcing can be effectively quantified, rapid and uniform map coverage can be realized, the number of the active participants can be ensured, and long-term data quality guarantee in high-precision map crowdsourcing can be realized.

Description

technical field [0001] The present invention relates to the technical field of urban intelligent transportation, in particular to a reverse auction method based on participant contributions in high-precision map crowdsourcing. Background technique [0002] High-precision maps are the key technology to realize unmanned driving. They provide highly accurate road models to ensure the driving safety of unmanned vehicles, and often require frequent updates. It is expensive and time-consuming to professionally collect fleet measurement road data, and it is difficult to guarantee real-time map update and high coverage. Collecting, screening, and aggregating a large number of intelligent vehicle sensor data on the edge side by crowdsourcing can realize map services with wide coverage, high real-time performance, and low cost. In this process, the unmanned vehicle / smart vehicle is not only the requester of the map service but also the crowdsourced data provider of the map update. Th...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/06G06Q50/30
CPCG06Q10/063112G06Q30/0611G06Q50/30
Inventor 唐洁姚令冰
Owner SOUTH CHINA UNIV OF TECH
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