Design And Implementation Of Test Platform For Intelligent Driving Products

As leading products of automatic driving,ADAS products have now appeared in the high-end cars.A stable test platform which can support various products'development becomes an urgent requirement of develop department.This thesis is about how to design a test platform which is based on the hardware in loop technology(HIL).This technology can make the test platform more stable,reliable and accurate.The content of this thesis focuses on the design of whole platform and realized function that the performance evaluation about algorithm of front camera.The design solved following three key problems.Firstly,the platform solved the video transmission problem between computer and FPGA test board.Based on the system requirements,the recorded video should be row data which is not compacted,which the default package format of UDP can't fulfill.In the design a self-defined package is used to solve the problem.Secondly,the design realized the hardware simulation of camera sensors.The key points of hardware simulation are feedback of commends and timing issue.FPGA used to simulate the internal logic and parameter configuration of the camera sensors.And the team optimizes the timing of program to solve timing issue.Lastly,the platform solved the compatibility and scalability issues.ADTF is selected as the software development environment.The standard modules and specified interface of ADTF make the design easily and save much time.Now the test platform already realized the performance evaluation function about algorithm of front cameras.The platform passed the function test by project team.And it provided a great support for the mass production of the front cameras.Developments of other products are still in process.