Dynamic vision enhancement and vision assistance

The system enhances driver visibility by using gaze and environmental sensors to identify and address blind spots with corrective measures, improving situational awareness and driving safety through dynamic adjustments.

DE102025101199A1Pending Publication Date: 2026-05-28GM GLOBAL TECHNOLOGY OPERATIONS LLC
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Patent Information

Application Number
DE102025101199
Authority / Receiving Office
DE · DE
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-11-26
Filing Date
2025-01-15
Publication Date
2026-05-28

AI Technical Summary

Technical Problem

Drivers face visual limitations such as blind spots, blurred vision, and other conditions that impair their ability to operate vehicles safely, as their brains often fail to notice objects within these blind spots.

Method used

A system and method that utilize gaze sensors and environmental sensors to monitor a driver's gaze state and surroundings, analyzing this data to determine objects in blind spots and implement corrective measures like moving visual signals into the driver's field of view, adjusting signal design parameters, and enriching reality with augmented features to enhance visibility.

Benefits of technology

Enhances driver visibility by effectively alerting them to objects in blind spots, improving situational awareness and driving behavior through dynamic adjustments based on driver response and environmental conditions.

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Abstract

System and method for operating a vehicle. A gaze sensor receives an image of the driver's face. An environment sensor receives environmental data relating to an environmental state and a distant object, a human-machine interface, and a processor. The processor is configured to receive a user profile for the driver, where the user profile specifies a visible area and a blind spot in the driver's field of vision; to determine the driver's gaze state from the image; to determine the location of the distant object from the environmental data; to analyze the gaze state and the environmental data to determine that a distant object is in the driver's blind spot; and, at the human-machine interface, to execute a corrective action to improve the visibility of the distant object in the blind spot.
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