Road network data processing method and device

Abstract

The embodiment of the invention provides a road network data processing method and device, and the method comprises the steps: obtaining a vehicle motion track and road network perception data collected in real time, and determining a track node based on the vehicle motion track; fitting according to the track node and the current vehicle position to obtain a road track curve, and fitting the road network perception data to obtain a road edge curve; and adding corresponding logic features to data points included in the road track curve and the road edge curve, generating a road network data structure to acquire road network data , so that the road network data passing the inspection can be used. The continuous and complete road network structure is generated to carry out real-time rendering, path planning and the like, real-time collection of road network data in the intelligent driving process is achieved, the processed road network data is presented to a vehicle user, the vehicle user is helped to perceive the surrounding environment in time, and good expansibility and universality are achieved.

Description

technical field [0001] The invention relates to the technical field of vehicles, in particular to a road network data processing method and a road network data processing device. Background technique [0002] Road network data is a representation of road features, which can include basic information such as the position, direction, and boundary of the road, as well as extended information such as speed limits and movement direction limits for objects on the road. The construction of a road network often requires a huge amount of data. This type of data is generally collected by various vehicle sensors and processed through training, fusion, alignment, and calibration. Therefore, the acquisition of a road network requires a certain amount of time and labor costs. It cannot achieve real-time acquisition and real-time use of road network data in the process of intelligent driving. Contents of the invention [0003] In view of the above problems, embodiments of the present in...

AI Technical Summary

Problems solved by technology

The construction of a road network often requires a huge amount of data. This type of data is generally collected by various vehicle sensors and processed through training, fusion, alignment, and calibration. Therefore, the acquisition of a road network requires a certain amount of time and labor costs. Real-time acquisition and real-time use of road network data cannot be realized in the process of intelligent driving

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