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Method and system for providing behavior of vehicle operator using virtuous cycle

机译:利用良性循环提供车辆操作员行为的方法和系统

摘要

A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.
机译:一种方法或系统能够检测使用包含传感器,机器学习中心(“MLC”)和基于云网络(“CBN”)的良性循环的操作员行为(“ob”)。在一个方面,该过程监测由内部传感器捕获的操作员身体语言,并且在车辆中乘坐车辆时,由外部传感器观察到的围绕信息。在根据MLC生成的OB模型选择性地记录捕获的数据之后,根据OB模型接收的车辆状态信号检测异常OB(“AOB”)。在倒带录制的操作员身体语言和导致AOB检测的周围信息时,生成与AOB相关的标记数据。随后将标记的数据上载到CBN,以便通过良性循环促进MLC的OB模型训练。

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