A vehicle automatic driving virtual environment construction method

Abstract

The invention provides a vehicle automatic driving virtual environment construction method. The vehicle automatic driving virtual environment construction method comprises the following steps: step 1,modeling and generating a virtual scene; 2, virtual data and signals are collected; Step 3, automatically generating a special type marker in the virtual scene; 4, map elements and resources in the virtual scene are dynamically loaded based on the special type markers; 5, according to the virtual data and the signals, labeling the interested target in the virtual scene; Step 6, based on a dynamicmodel and the methods in the step 1, the step 2 and the step 3, simulating and carrying out an automatic driving system boundary test in a virtual scene; And step 7, testing an identification resultof the automatic driving system in the virtual scene based on the methods of the step 1, the step 2 and the step 5. The virtual target object and the special type marker are generated through programsoftware to replace the scene of the real world and the acquisition process of the marker, and expensive acquisition equipment is prevented from being used to reduce the cost.

Description

Technical field [0001] The invention relates to the technical field of combining pattern recognition and intelligent systems with vehicles, and in particular to a method for constructing a virtual environment for automatic driving of vehicles. Background technique [0002] With the improvement of people's living standards, vehicles such as cars have become the main means of transportation for people, and the intelligentization of vehicles has made travel easier. In some cases, the vehicle can perform driving tasks automatically, for example, ordinary family cars, buses, trucks and other vehicles with the automatic driving function turned on, or can also be unmanned family cars, buses, trucks and other vehicles. When the vehicle is performing automatic driving, it needs to obtain the vehicle decision line according to the pre-configured vehicle decision planning algorithm, and then execute the automatic driving task according to the vehicle decision line. [0003] The development o...

AI Technical Summary

Problems solved by technology

At present, when building a virtual environment, the collection of road conditions or driving road scene data requires expensive collection equipment, or requires difficult collection methods such as driving around, or does not collect enough data due to extremely difficult occurrence of extreme events. data

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