Research on the Simulation Test of Intelligent Connected Automobile Sensor Based on Virtual Reality Technology
DOI:
https://doi.org/10.71222/nj6eab67Keywords:
intelligent connected vehicle, virtual reality technology, panosim, pythonAbstract
With the continuous development of virtual reality technology and intelligent and connected vehicles, Sensor test data based on actual vehicles are also increasing, The time required for road testing has increasing, Testing is also becoming more difficult and expensive, In order to improve the efficiency of measurement collection and autonomous driving algorithm development for large and laser sensors of intelligent connected vehicle cameras, Reduce the development costs, This study is based on the virtual reality technology, Using panosim software to build a simulation test platform, By creating a road test map in real time, selecting a vehicle model, selecting and installing the sensor type, Using python to read the camera image data and lidar point cloud information, Further through unity3D synchronization simulation screen for road analysis, Receive the image data transmitted through the TCP / IP connection on the server side, And display the received images using the OpenCV, To verify the accuracy of the algorithm, Using virtual simulation technology shortens the sensor development and test cycle to some extent, Reduced costs, It has practical significance.
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Copyright (c) 2025 Xiaoyu Xu, Joan Lazaro (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
