Automatic Driving Multi-scenario Test Method Based on Big Data Cloud Platform
Traditional autonomous driving test development has the disadvantages of poor collaboration and scattered tools.For this reason,an intelligent testing system based on cloud,pipe and terminal collaboration is designed.Firstly,an artificial intelligence algorithm is built on the unmanned driving teaching platform for data collection,and then uploaded to the Huawei big data cloud platform for storage,processing and analysis.Secondly,the deep learning target detection framework is applied to identify all target vehicles in the scene;the iterative mode of the vehicle-side joint cloud platform is adopted to collect massive road environment data on the vehicle side,and the model algorithm is developed and simulation verified on the cloud.Finally,the algorithm is downloaded to the vehicle side.This intelligent testing system is in line with the multi-scenario development mode of autonomous driving,improves the model training speed and development efficiency,and meets the test standards of multi-sensor fusion scenarios.
self-drivingcloud trainingAI development platformscenario test
NETL
NSTL
万方数据
