Predictive Human-Machine Interface Using Eye Gaze Technology, Blind Spot Indicators and Driver Experience
A system and method are disclosed for preventing accidents in a vehicle. The system comprises an eye gaze detector for receiving an eye gaze vector from a driver. The system additionally comprises a proximity sensor for detecting locations of nearby objects and their velocities. A vehicle accident r...
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creator | CHOI DAVE FEIT STEVEN SCHEUFLER NICK KOSTERICH MICHELLE LIN JASON GREBE CODY MILLER ROSS |
description | A system and method are disclosed for preventing accidents in a vehicle. The system comprises an eye gaze detector for receiving an eye gaze vector from a driver. The system additionally comprises a proximity sensor for detecting locations of nearby objects and their velocities. A vehicle accident risk is determined based on the nearby object location and velocity. Additionally, the driver's knowledge of vehicle circumstances is determined based on the nearby object location and velocity as well as the eye gaze location. Responsive to the driver's knowledge and the vehicle accident risk, a vehicle alert is activated. |
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The system comprises an eye gaze detector for receiving an eye gaze vector from a driver. The system additionally comprises a proximity sensor for detecting locations of nearby objects and their velocities. A vehicle accident risk is determined based on the nearby object location and velocity. Additionally, the driver's knowledge of vehicle circumstances is determined based on the nearby object location and velocity as well as the eye gaze location. 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The system comprises an eye gaze detector for receiving an eye gaze vector from a driver. The system additionally comprises a proximity sensor for detecting locations of nearby objects and their velocities. A vehicle accident risk is determined based on the nearby object location and velocity. Additionally, the driver's knowledge of vehicle circumstances is determined based on the nearby object location and velocity as well as the eye gaze location. 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The system comprises an eye gaze detector for receiving an eye gaze vector from a driver. The system additionally comprises a proximity sensor for detecting locations of nearby objects and their velocities. A vehicle accident risk is determined based on the nearby object location and velocity. Additionally, the driver's knowledge of vehicle circumstances is determined based on the nearby object location and velocity as well as the eye gaze location. Responsive to the driver's knowledge and the vehicle accident risk, a vehicle alert is activated.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING ORSUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES INGENERAL DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PERFORMING OPERATIONS PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION SIGNALLING TESTING TRAFFIC CONTROL SYSTEMS TRANSPORTING VEHICLES IN GENERAL |
title | Predictive Human-Machine Interface Using Eye Gaze Technology, Blind Spot Indicators and Driver Experience |
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