05-12-2019 дата публикации
Номер: US20190370581A1
A method or system that is able to adjust an exterior mirror of a vehicle via an automatic mirror-setting (“AM”) model managed by a virtuous cycle containing a cloud based network (“CBN”). The system includes a set of mirrors, a set of inward facing cameras, a vehicle onboard computer (“VOC”), and AM module. In one embodiment, the mirrors, attached to a vehicle, are configured to capture at least a portion of the external environment in which the vehicle operates. The inward facing cameras, mounted in the vehicle, are configured to collect internal images, including the operator's facial features showing operator visual characteristics. The VOC, which is coupled to the CBN, is configured to determine operator vision metadata based on the internal images, operator visual characteristics, and historical stored data. The AM module is able to adaptively set a mirror to an optimal orientation so that the area of the external blind spot is minimized. 1. A computing device , comprising:a memory that is configured to store computer instructions; and receive at least one first image of an area external to a vehicle;', 'receive at least one second image of a driver of the vehicle;', 'analyze the at least one first image to detect movement of an object relative to the vehicle;', 'detect an abnormal event based on the movement of the object;', 'in response to the detected abnormal event, analyze the at least one second image to determine a head position of the driver within the vehicle and a gaze direction of the driver;', "determine an orientation of at least one mirror on the vehicle based on the movement of the object and the driver's head position and gaze direction relative to the at least one mirror;", 'automatically adjust a position of the at least one mirror using the determined orientation to enable the driver to see the abnormal event via the at least one mirror; and', 'provide further automatic adjustments of the position of the at least one mirror based on tracked ...
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