Machine learning-based steering control for automated vehicles utilizing V2X communication

2021 IEEE Conference on Control Technology and Applications (CCTA)(2021)

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摘要
A neural network-based controller is trained on data collected from connected human-driven vehicles in order to steer a connected automated vehicle on multi-lane roads. The obtained controller is evaluated using model-based simulations and its performance is compared to that of a traditional nonlinear feedback controller. The comparison of the control laws obtained by the two different approaches ...
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关键词
Delay effects,Roads,Conferences,Robustness,Adaptive control,Vehicle-to-everything,Vehicles
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