Bayesian inference of light localization on virtual visor system mounted to vehicle

Abstract

A Bayesian inference of light localization on a virtual visor system mounted to a vehicle is provided. A virtual visor system is disclosed that includes a visor having a plurality of independently operable pixels that selectively operate with a variable opacity / transparency. The camera captures a face image of the driver or other passenger, and based on the captured image, the controller operates the visor to automatically and selectively darken a limited portion thereof to block the sun or other illumination source from illuminating the driver's eyes while keeping the remainder of the visor transparent. The virtual visor system advantageously eliminates unnecessary impediment to the driver's field of view while also blocking distracted light sources, thereby improving the safety of the vehicle.

Description

technical field [0001] The devices and methods disclosed in this document relate to anti-glare systems, and more particularly, to vehicle mounted virtual visor systems that use Bayesian inference to localize lights. Background technique [0002] Unless otherwise indicated herein, the material described in this section is not admitted to be prior art by inclusion in this section. [0003] When driving a car, when the sun is low on the horizon, such as in the morning and evening, a common problem is that the sun shines through the windshield and interferes with the driver's vision, making it clear to see the road, traffic signals, road signs and other Vehicles are challenging. A conventional solution to this problem has been to include a manually deployable sun visor mounted adjacent to the vehicle's windshield. A sun visor is typically an opaque object that can be deployed between the user and the sun to block direct sunlight from the driver's eyes. In particular, the viso...

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