A driver training assistance system (DTAS) is proposed for driver training and behavior monitoring. The DTAS utilizes three driving operation sensors that based on the principle of triboelectric nanogenerators. The gear position sensor can monitor the gear that the driver has switched, the steering angle sensor captures the direction and angle of the driver’s rotation of the steering wheel, and the pedal sensor can monitor which pedal the driver is pressing or releasing. In addition, the DTAS can monitor driver behavior and provide feedback on each driver’s operation process in real-time. Combined with deep learning (DL) technology, the DTAS can identify and evaluate the results of the driving operation of drivers in specific training scenarios, with an accuracy rate of 97.5%. This work can provide new ideas for the innovative exploration of new driving training modes without coaching and effectively promote the application of triboelectric nanogenerators in the field of intelligent transportation.

中文翻译：

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深度学习辅助三个摩擦电驾驶操作传感器进行驾驶员培训和行为监控

提出了驾驶员培训辅助系统（DTAS），用于驾驶员培训和行为监控。DTAS 采用三个基于摩擦纳米发电机原理的驾驶操作传感器。档位传感器可以监测驾驶员切换的档位，转向角传感器捕捉驾驶员转动方向盘的方向和角度，踏板传感器可以监测驾驶员踩下或松开哪个踏板。此外，DTAS还可以监控驾驶员的行为，并实时反馈每个驾驶员的操作过程。结合深度学习（DL）技术，DTAS可以识别和评估驾驶员在特定训练场景下的驾驶操作结果，准确率高达97.5%。该工作可为无教练新型驾驶训练模式的创新探索提供新思路，有效推动摩擦纳米发电机在智能交通领域的应用。