A digital twin autonomous driving test method based on camera obscura

Abstract

The invention discloses a digital twin automatic driving test method based on a camera obscura, which summarizes the digital twin simulation test process in the early stage, and provides some virtual automatic driving vehicles in the early digital twin simulation test that failed to meet expectations for the later digital twin virtual-real interaction test. The scene and working conditions of the test results are used to shorten the development cycle of the virtual-real interactive test of the digital twin in the later stage; the invention adopts the camera obscura module, which can quickly test and adjust the camera for data processing, target recognition and learning training. At the same time, the camera obscura module can be fused with the data of the virtual sensor in the virtual simulation module to provide more and more accurate environmental information; , taking the driver into consideration, training the man-machine co-driving performance of the automatic control algorithm and the driving comfort of the vehicle; the present invention provides the strongest guarantee for the final road test.

Description

technical field [0001] The invention relates to the field of automatic driving testing, in particular to a camera obscura-based digital twin automatic driving testing method. Background technique [0002] Different levels of self-driving vehicles have to go through a lot of tests to debug and optimize the self-driving control algorithm before the real commercial application. If road tests are used throughout the development cycle, it will inevitably consume a lot of time and economic costs. Moreover, the tolerance of laws and regulations on autonomous driving, the safety and reproducibility of tests in extreme scenarios and dangerous working conditions have brought many difficulties to autonomous driving road tests. [0003] Although the closed-site road test avoids some problems faced by the autonomous driving road test to a certain extent, it can more realistically reproduce some dangerous and classic working conditions. However, the test conditions and test scenarios are...

AI Technical Summary

Problems solved by technology

[0005] Although there are many advantages to the combination of virtual and real autonomous driving testing methods, if this testing method is used in the initial stage of autonomous driving research and development, it will inevitably increase the development cycle and development costs.

At the same time, the debugging and optimization of sensors is also a relatively important part of the automatic driving test. The automatic driving test method combining virtual reality is still lacking in sensor debugging and optimization.

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