Research on Automatic Driving Simulation Training Based on Virtual Reality Technology
With the development of autonomous driving technology,the realistic road test data has been difficult to meet the testing requirements of relevant algorithms.In order to shorten the development cycle of autonomous driving algorithms and reduce the development cost,this paper combines the digital twin idea to build an autonomous driving simulation training platform.The sim-ulation platform adopts Unity3D engine for autonomous driving simulation,and uses vehicle built-in LiDAR and camera to collect simulation data.It establishes a server through Python to read camera data and synchronize simulation screen for road analysis,in which DeepLabV3+ neural network is used to detect the road and OpenCV to detect the surrounding environment.At the same time,its compiles mapping software to connect to the server.Through the memory sharing mechanism,the LIDAR data is read and re-al-time road mapping is performed.The similarity between the data set generated by the platform and that generated by the real road conditions after 10 training sessions is 93.3%for the training error and 90.9%for the validation error.
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