Intelligent networking vehicle intelligent driving function cloud simulation test system and method based on DevOps

Abstract

The invention discloses an intelligent networked vehicle intelligent driving function cloud simulation test system and method based on DevOps. The system comprises a WEB front end subsystem, a WEB rear end subsystem, an application service subsystem, a third-party service subsystem, a basic service subsystem, a data storage subsystem and a container arrangement engine subsystem. The WEB front end is used for providing an interactive interface for a user; the WEB back end responds to the front-end user operation; the third party service comprises a Jenkins service, a Gitlab service and an ALM service; and the container arrangement engine comprises a mirror image warehouse and a simulation execution node, and the mirror image warehouse is used for storing container mirror images developed based on the application of the container and mirror images prepared for various users in advance in the simulation execution node. According to the test system, a developer submits software to the project management platform, issues and automatically constructs platform integration and releases the platform integration to the mirror image management platform, issues the platform integration to the mirror image management platform, tests and issues a test report, a tester analyzes problems and submits a problem list to the defect management platform in a closed loop mode to the developer, and automation of the whole process is achieved.

Description

technical field [0001] The invention belongs to the technical field of simulation testing of intelligent networked vehicles, and in particular relates to a cloud simulation testing system and method for intelligent driving functions of intelligent networked vehicles based on DevOps mode. Background technique [0002] Carrying out simulation testing during the independent development of the autonomous driving system can quickly and efficiently find problems, accelerate the iteration and convergence speed of the entire algorithm, improve development efficiency as a whole, and reduce development costs. At present, mainstream simulation testing methods include MIL (Model-in-the-loop), SIL (Software-in-the-loop), HIL (Hardware-in-the-loop), VIL (Vehicle-in-the-loop), DIL (Driver-in-the-loop), among which SIL relies on pure software environment The flexibility, efficiency of execution, and ease of deployment can be used for massively parallel simulations. [0003] The intelligent...

AI Technical Summary

Problems solved by technology

The intelligent driving function cloud simulation test system of the intelligent networked vehicle provided by the present invention can automatically trigger the simulation test task by submitting the code behavior of the developer, and the simulation task can be managed and dispatched in the cloud in a unified manner, which solves the problem of the intelligent driving function software of the intelligent networked vehicle The problem of repeated capacity building caused by the inconsistency of the development and testing tool chains during the development iteration process

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