Unmanned aerial vehicle cooperative data verification system and method based on autonomous vehicle networking

Abstract

The invention discloses an unmanned aerial vehicle assisted data verification system and method in an automatic driving vehicle network. The system comprises an unmanned aerial vehicle sensing unit, a road side unit, a sensing data verification unit and a data storage unit. The unmanned aerial vehicle sensing unit is connected with the road side unit in an air-to-ground communication (A2G) mode; the sensing data verification unit is connected with the road side unit in an A2G mode; and the data storage unit is connected with the road side unit. The method comprises the following steps: recruiting a corresponding number of verification unmanned aerial vehicles to verify perception data according to the reputation of the perception unmanned aerial vehicle; according to the verification time, the cooperation evaluation and the verification result, the credibility of the unmanned aerial vehicle is established and verified; and consensus is carried out in the alliance block chain according to the proposed credit-enhanced delegation right proof, storage of perception data, credibility and verification information is completed, and data traceability is realized.

Description

technical field [0001] The invention belongs to the field of autonomous vehicle network (Autonomous Vehicular Networks, AVNs), and in particular relates to a data verification system and method assisted by unmanned aerial vehicles in the autonomous vehicle network. Background technique [0002] As one of the most dynamic and dynamic fields in the era of the Internet of Things (IoT), the autonomous vehicle network will play an important role in the future Intelligent Transportation Systems (ITSs) and have the potential to change the face of human society. huge potential. The autonomous vehicle network has a series of advantages such as reducing traffic accidents, shortening the average commute time, reducing carbon dioxide emissions, and improving the travel experience. Therefore, the prospect of autonomous vehicle network is widely optimistic. In order to realize the practical application of Autonomous Vehicles (AVs), the driving safety of each autonomous vehicle is of gre...

AI Technical Summary

Problems solved by technology

[0003] However, the large-scale application of UAV-assisted traffic perception in autonomous vehicle networks faces some challenges

Specifically, both the quality and behavior of UAV perception greatly affect the decision-making of autonomous driving

On the one hand, due to the different perception capabilities of UAVs, UAVs with poor perception capabilities will generate and provide lower-quality traffic perception data, which will greatly reduce the accuracy of UAVs in judging traffic conditions.

On the other hand, since any UAV can participate in data perception, some malicious UAVs will conduct dishonest perception behaviors, forge and generate false perception data

As a result, self-driving cars may be compromised, make wrong decisions about autonomous driving, and even cause traffic accidents (e.g., rear-end collisions due to incorrect vehicle distance information)

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