Local holographic quasi-real-time map road scene distributed data fusion method

Abstract

The invention discloses a local holographic quasi-real-time map road scene distributed data fusion method, which comprises the following steps of S1, establishing a vehicle-road collaborative network system based on detection equipment of vehicles and road networking nodes; s2, after the data network is established, the camera recognizes an acquired image as a corresponding object, and marks the corresponding object on a local map through coordinate conversion according to own positioning information; s3, performing neighborhood node broadcasting on the local map with the object identifier; and S4, the neighborhood node compares the object identified by the neighborhood node and the positioning information with the broadcast information of each node, and if ambiguity is found, an alarm is given to a background management system. The invention provides a method for constructing a local holographic road scene for serving automatic driving, a local holographic dead-corner-free cognitive ability is formed for a vehicle, and the problem that a perception device at a vehicle end cannot see and cannot be recognized clearly is solved, so that traffic accidents are effectively avoided, and the travel satisfaction degree of people is improved.

Description

technical field [0001] The invention relates to the technical field of vehicle traffic, in particular to a local holographic quasi-real-time map road scene distributed data fusion method. Background technique [0002] The Ministry of Communications of China has put forward a clearer development direction and development points for the development of China's transportation industry, encourages technological innovation, and will create a world-class level of intelligent high-speed, intelligent transportation, and for the automatic driving, unmanned driving, queuing of vehicles Driving provides an important basic guarantee. The real-time information of vehicles driving on the road has become particularly important, which can provide important data protection for the driving system or drivers and passengers, and help vehicle drivers drive safely and accurately. [0003] The existing vehicle-centric automatic driving perception system has blind spots and low predictive ability. ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings existing in the prior art, and propose a local holographic quasi-real-time local holographic cognitive capability that solves the problem of "invisible and indistinct" for the vehicle-side sensing device. Distributed Data Fusion Method for Map Road View