Driving model training method, driver identification method, driving model apparatus, driver identification apparatus, device and medium
A technology of driving model and training method, which is applied in the field of driver recognition method, driving model training method, device, equipment and media, can solve the problems of poor driving model recognition effect, save training time, enhance generalization, and ensure The effect of accuracy
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Embodiment 1
[0042] figure 1 A flow chart of the driving model training method in this embodiment is shown. The driving model training method can be applied to terminal devices of insurance institutions or other institutions for training driving models so that the trained driving models can be used for recognition to achieve the effect of intelligent recognition. For example, the driving model training method can be applied to the terminal equipment of the insurance institution to train the driving model corresponding to the user, so as to use the trained driving model to identify the user who has applied for auto insurance at the insurance institution to determine whether it is the user I drive. Such as figure 1 As shown, the driving model training method comprises the following steps:
[0043] S11: Obtain training behavior data of the user, and the training behavior data is associated with the user identifier.
[0044] Wherein, the training behavior data refers to the behavior data o...
Embodiment 2
[0100] Figure 6 A functional block diagram of a driving model training device corresponding to the driving model training method in Embodiment 1 is shown. Such as Figure 6 As shown, the driving model training device includes a training behavior data acquisition module 11 , a training driving data acquisition module 12 , a positive and negative sample acquisition module 13 , an original driving model acquisition module 14 and a target driving model acquisition module 15 . Wherein, the implementation functions of the training behavior data acquisition module 11, the training driving data acquisition module 12, the positive and negative sample acquisition module 13, the original driving model acquisition module 14 and the target driving model acquisition module 15 are corresponding to the driving model training method in embodiment 1 The steps correspond to one by one, and to avoid redundant description, this embodiment does not describe them in detail one by one.
[0101] Th...
Embodiment 3
[0121] Figure 7 A flow chart of the driver identification method in this embodiment is shown. The driver identification method can be applied to terminal equipment of insurance agencies or other agencies, so as to identify the driver's driving behavior and achieve the effect of intelligent identification. Such as Figure 7 As shown, the driver identification method includes the following steps:
[0122] S21: Obtain the behavior data to be identified of the user, and the behavior data to be identified is associated with the user identifier.
[0123] Among them, the behavior data to be identified refers to the behavior data collected in real time when the user travels to identify whether the target user is driving. Behavior data includes, but is not limited to, at least one of data such as speed, acceleration, angle, and angular acceleration collected at any time when the user travels. In this embodiment, the behavior data to be identified is associated with the user identi...
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