Traffic object fusion association method and device in driving environment and edge calculation equipment

Abstract

The invention provides a traffic object fusion association method and device in a driving environment and edge calculation equipment, and relates to an intelligent traffic technology and an automatic driving technology. The method comprises the steps: obtaining first environment information and second environment information; the first environment information and the second environment information are collected through different sensors; determining first lane information of a first traffic object in the first environment information according to the first environment information, and determining second lane information of a second traffic object in the second environment information according to the second environment information; According to the information of the first traffic object in the first environment information, the information of the second traffic object in the second environment information, the first lane information and the second lane information, determining whether the first traffic object and the second traffic object have an association relationship. According to the scheme provided by the invention, the information of the lane where the traffic object is located can be combined to determine whether the traffic object has the association relationship, so that the fusion association accuracy of the traffic object can be improved.

Description

technical field [0001] The present disclosure relates to intelligent transportation technology and automatic driving technology in computer technology, and in particular to a method, device and edge computing device for merging and associating traffic objects in a driving environment. Background technique [0002] With the rapid development of social economy, the number and types of motor vehicles are also increasing sharply. When collecting road environment, it is necessary to correlate and integrate the obtained object information from different sources. [0003] When associating objects from different sources, the horizontal and vertical Euclidean distance or Mahalanobis distance between the target object and the object to be associated is usually calculated, when the horizontal and vertical Euclidean distance or Mahalanobis distance between the target object and the object to be associated When the preset condition is met, the target object is associated with the object ...

AI Technical Summary

Problems solved by technology

[0005] The present disclosure provides a traffic object fusion and association method, device and edge computing device in a driving environment, so as to solve the problem of easy object misassociation in the prior art

Images