Adaptive vehicle illumination utilizing visual pattern learning and cognitive enhancing

Abstract

Embodiments describing an approach to receiving visual feedback. Generating a recommended visual pattern based on the visual feedback. Tracking a driver's real-time visual pattern. Extracting the driver's real-time visual patterns from the eye-tracking data. Determining the differences between the recommended visual pattern and the driver's real-time visual pattern. Generating enhanced headlamp control configurations based on the determined differences between the recommended visual pattern and the driver's real-time visual pattern; and adjusting the headlamp calibration controls based on the enhanced headlamp control configuration.

What is claimed is: 
     
         1 . A method for adjusting headlight calibration controls based on eye-tracking data for improving driver safety, the method comprising:
 receiving, by one or more processors, visual feedback;   generating, by the one or more processors, a recommended visual pattern based on the visual feedback;   tracking, by the one or more processors, a driver's real-time visual pattern;   extracting, by the one or more processors, the driver's real-time visual patterns from the eye-tracking data;   determining, by the one or more processors, the differences between the recommended visual pattern and the driver's real-time visual pattern;   generating, by the one or more processors, enhanced headlamp control configurations based on the determined differences between the recommended visual pattern and the driver's real-time visual pattern; and   adjusting, by the one or more processors, the headlamp calibration controls based on the enhanced headlamp control configuration.   
     
     
         2 . The method of  claim 1  further comprising:
 creating, by the one or more processors, a driver profile. 
 
     
     
         3 . The method of  claim 2  further comprising:
 storing, by the one or more processors, driver data to a database; 
 updating, by the one or more processors, driver profile data. 
 
     
     
         4 . The method of  claim 1 , wherein the visual feedback is based on radar data. 
     
     
         5 . The method of  claim 1 , wherein extracting the driver's real-time visual patterns from the eye-tracking data further comprises extracting fixation indexes from the eye-tracking data. 
     
     
         6 . The method of  claim 1 , wherein eye-tracking data comprises: where the driver is looking, where the driver is focusing, the area of the road the driver is not focusing on, the driver's peripheral vision, visual blind spots, when the driver blinks, the rate at which the driver blinks, how strained the drivers eyes become while trying to focus on the road, road visibility, level of visual stimuli on the road, and/or how the drivers pupil react to different stimuli. 
     
     
         7 . The method of  claim 1 , wherein tracking a driver's visual pattern further comprises driving characteristics, wherein driving characteristics comprise the vehicles speed, velocity, how fast the driver accelerates, the amount of pressure the driver applies to the breaks, how often the breaks are being applied, the speed at which the gears are shifted, and average revolutions per minute (RPM). 
     
     
         8 . A computer program product for adjusting headlight calibration controls based on eye-tracking data for improving driver safety, the computer program product comprising:
 one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the stored program instructions comprising:
 program instructions to receive visual feedback; 
 program instructions to generate a recommended visual pattern based on the visual feedback; 
 program instructions to track a driver's real-time visual pattern; 
 program instructions to extract the driver's real-time visual patterns from the eye-tracking data; 
 program instructions to determine the differences between the recommended visual pattern and the driver's real-time visual pattern; 
 program instructions to generate enhanced headlamp control configurations based on the determined differences between the recommended visual pattern and the driver's real-time visual pattern; and 
 program instructions to adjust the headlamp calibration controls based on the enhanced headlamp control configuration. 
   
     
     
         9 . The computer program product of  claim 8 , further comprising:
 program instructions to create a driver profile.   
     
     
         10 . The computer program product of  claim 9 , further comprising:
 program instructions to store driver data to a database; and   program instructions to update driver profile data.   
     
     
         11 . The computer program product of  claim 8 , wherein the visual feedback is based on radar data. 
     
     
         12 . The computer program product of  claim 8 , wherein extracting the driver's real-time visual patterns from the eye-tracking data further comprises extracting fixation indexes from the eye-tracking data. 
     
     
         13 . The computer program product of  claim 8 , wherein eye-tracking data comprises: where the driver is looking, where the driver is focusing, the area of the road the driver is not focusing on, the driver's peripheral vision, visual blind spots, when the driver blinks, the rate at which the driver blinks, how strained the drivers eyes become while trying to focus on the road, road visibility, level of visual stimuli on the road, and/or how the drivers pupil react to different stimuli. 
     
     
         14 . The computer program product of  claim 8 , wherein tracking a driver's visual pattern further comprises driving characteristics, wherein driving characteristics comprise the vehicles speed, velocity, how fast the driver accelerates, the amount of pressure the driver applies to the breaks, how often the breaks are being applied, the speed at which the gears are shifted, and average revolutions per minute (RPM). 
     
     
         15 . A computer system for adjusting headlight calibration controls based on eye-tracking data for improving driver safety, the computer system comprising:
 one or more computer processors;   one or more computer readable storage devices;   program instructions stored on the one or more computer readable storage devices for execution by at least one of the one or more computer processors, the stored program instructions comprising:
 program instructions to receive visual feedback; 
 program instructions to generate a recommended visual pattern based on the visual feedback; 
 program instructions to track a driver's real-time visual pattern; 
 program instructions to extract the driver's real-time visual patterns from the eye-tracking data; 
 program instructions to determine the differences between the recommended visual pattern and the driver's real-time visual pattern; 
 program instructions to generate enhanced headlamp control configurations based on the determined differences between the recommended visual pattern and the driver's real-time visual pattern; and 
 program instructions to adjust the headlamp calibration controls based on the enhanced headlamp control configuration. 
   
     
     
         16 . The computer system of  claim 15 , further comprising:
 program instructions to create a driver profile.   
     
     
         17 . The computer system of  claim 16 , further comprising:
 program instructions to store driver data to a database; and   program instructions to update driver profile data.   
     
     
         18 . The computer system of  claim 15 , wherein the visual feedback is based on radar data. 
     
     
         19 . The computer system of  claim 15 , wherein extracting the driver's real-time visual patterns from the eye-tracking data further comprises extracting fixation indexes from the eye-tracking data. 
     
     
         20 . The computer system of  claim 15 , wherein eye-tracking data comprises: where the driver is looking, where the driver is focusing, the area of the road the driver is not focusing on, the driver's peripheral vision, visual blind spots, when the driver blinks, the rate at which the driver blinks, how strained the drivers eyes become while trying to focus on the road, road visibility, level of visual stimuli on the road, and/or how the drivers pupil react to different stimuli.