Automated dynamic vehicle blind spot determination

Abstract

A driver's orientation within a first vehicle is monitored. A change in the driver's orientation is detected. A change to a rear blind spot dimensional area of the first vehicle is calculated based upon the detected change. The rear blind spot dimensional area includes coordinates and dimensions of an area behind a peripheral view area of the driver and outside of rear viewable areas of viewable mirrors of the vehicle. The calculated change is applied to a statistical model of dangerous vehicle situations that includes a probabilistic function of at least one of a Gaussian distribution and a uniform distribution of at least one of the dangerous blind spot coordinates, dangerous information about the first vehicle, and dangerous characteristics of a vehicular environment surrounding the first vehicle. A dangerous situation associated with the first vehicle is predicted based upon a result of the calculated change applied to the statistical model.

What is claimed is: 
     
         1 . A computer program product, comprising:
 a computer readable storage medium having computer readable program code embodied therewith, where the computer readable program code when executed on a computer causes the computer to:
 monitor a driver's orientation within a first vehicle; 
 detect a change in the driver's orientation; 
 calculate, in response to detecting the change in the driver's orientation, a change to a rear blind spot dimensional area of the first vehicle, where the rear blind spot dimensional area comprises coordinates and dimensions of an area behind a peripheral view area of the driver and outside of rear viewable areas of viewable mirrors of the vehicle; 
 apply the calculated change to the rear blind spot dimensional area to a statistical model of dangerous vehicle situations, where the statistical model to which the calculated change to the rear blind spot dimensional area is applied comprises a probabilistic function comprising at least one of a Gaussian distribution and a uniform distribution of at least one of the dangerous blind spot coordinates, dangerous information about the first vehicle, and dangerous characteristics of a vehicular environment surrounding the first vehicle; and 
 predict a dangerous situation associated with the first vehicle based upon a result of the calculated change to the rear blind spot dimensional area applied to the statistical model of the dangerous vehicle situations. 
   
     
     
         2 . The computer program product of  claim 1 , where, in causing the computer to detect the change in the driver's orientation, the computer readable program code when executed on the computer causes the computer to detect a change in at least one of an eye position of the driver, a head position of the driver, a body position of the driver, and an activity of the driver. 
     
     
         3 . The computer program product of  claim 1 , where, in causing the computer to calculate, in response to detecting the change in the driver's orientation, the change to the rear blind spot dimensional area, the computer readable program code when executed on the computer causes the computer to calculate a change to at least one of a blind spot shape and blind spot dimensions. 
     
     
         4 . The computer program product of  claim 1 , where the computer readable program code when executed on the computer further causes the computer to:
 determine at least one characteristic associated with the first vehicle, the at least one characteristic comprising at least one of a size of the first vehicle, a mirror adjustment associated with the first vehicle, a speed of the first vehicle, a driver's seat height, a driver's seat position, and a steering angle of the first vehicle; and   where, in causing the computer to calculate, in response to detecting the change in the driver's orientation, the change to the rear blind spot dimensional area, the computer readable program code when executed on the computer causes the computer to calculate the change to the rear blind spot dimensional area based upon the determined at least one characteristic associated with the first vehicle.   
     
     
         5 . The computer program product of  claim 1 , where the computer readable program code when executed on the computer further causes the computer to communicate information associated with at least one of the calculated change to the rear blind spot dimensional area and the predicted dangerous situation to at least one of the first vehicle and a second vehicle. 
     
     
         6 . The computer program product of  claim 1 , where:
 the statistical model of dangerous vehicle situations further comprises dangerous driver orientation characteristics; and   in causing the computer to apply the calculated change to the rear blind spot dimensional area to the statistical model of dangerous vehicle situations, the computer readable program code when executed on the computer causes the computer to apply the calculated change to the rear blind spot dimensional area to the dangerous driver orientation characteristics within the statistical model.   
     
     
         7 . The computer program product of  claim 1 , where:
 the at least one of the Gaussian distribution and the uniform distribution of the dangerous information about the first vehicle comprises mathematical relationships associated with at least one of a dangerous vehicle speed, a dangerous vehicle orientation, and a dangerous steering angle relative to speed; and   the at least one of the Gaussian distribution and the uniform distribution of the dangerous characteristics of a vehicular environment surrounding the first vehicle comprises mathematical relationships associated with at least one of a dangerous weather condition and dangerous conditions associated with other surrounding vehicles.   
     
     
         8 . The computer program product of  claim 1 , where the computer readable program code when executed on the computer further causes the computer to update the statistical model of dangerous vehicle situations based upon data associated with at least one of an actual collision and a near collision. 
     
     
         9 . The computer program product of  claim 8 , where, in causing the computer to update the statistical model of dangerous vehicle situations based upon the data associated with at least one of the actual collision and the near collision, the computer readable program code when executed on the computer causes the computer to update the statistical model of dangerous vehicle situations with at least one of a new dangerous driver characteristic, new dangerous blind spot coordinates, new dangerous information about the first vehicle, and a new dangerous characteristic of the environment surrounding the first vehicle. 
     
     
         10 . A computer program product, comprising:
 a computer readable storage medium having computer readable program code embodied therewith, where the computer readable program code when executed on a computer causes the computer to:   store a statistical model of dangerous vehicle situations that comprises a probabilistic function comprising at least one of a Gaussian distribution and a uniform distribution of at least one of dangerous blind spot coordinates, dangerous information about a first vehicle, and dangerous characteristics of a vehicular environment surrounding the first vehicle;   monitor a driver's orientation within the first vehicle;   detect a change in the driver's orientation comprising at least one of a change of an eye position of the driver, a change of a head position of the driver, a change of a body position of the driver, and a change of an activity of the driver;   determine at least one characteristic associated with the first vehicle, the at least one characteristic comprising at least one of a size of the first vehicle, a mirror adjustment associated with the first vehicle, a speed of the first vehicle, a driver's seat height, a driver's seat position, and a steering angle of the first vehicle;   calculate a change to a rear blind spot dimensional area comprising at least one of a blind spot shape and blind spot dimensions of the first vehicle in response to the detected change in the driver's orientation and the determined at least one characteristic associated with the first vehicle, where the rear blind spot dimensional area comprises coordinates and dimensions of an area behind a peripheral view area of the driver and outside of rear viewable areas of viewable mirrors of the vehicle;   read the statistical model of dangerous vehicle situations that comprises the probabilistic function comprising at least one of the Gaussian distribution and the uniform distribution of the at least one of the dangerous blind spot coordinates, the dangerous information about the first vehicle, and the dangerous characteristics of the vehicular environment surrounding the first vehicle;   apply at least one of the detected change in the driver's orientation and the calculated change to the rear blind spot dimensional area to the statistical model of the dangerous vehicle situations that comprises the probabilistic function comprising at least one of the Gaussian distribution and the uniform distribution of the at least one of the dangerous blind spot coordinates, the dangerous information about the first vehicle, and the dangerous characteristics of the vehicular environment surrounding the first vehicle;   predict a dangerous situation associated with the first vehicle based upon a result of the at least one of the detected change in the driver's orientation and the calculated change to the rear blind spot dimensional area applied to the statistical model of the dangerous vehicle situations that comprises the probabilistic function comprising at least one of the Gaussian distribution and the uniform distribution of the at least one of the dangerous blind spot coordinates, the dangerous information about the first vehicle, and the dangerous characteristics of the vehicular environment surrounding the first vehicle;   communicate information associated with at least one of the calculated change to the rear blind spot dimensional area and the predicted dangerous situation to at least one of the first vehicle and a second vehicle;   update the statistical model of dangerous vehicle situations based upon data associated with the predicted dangerous situation; and   store the updated statistical model of dangerous vehicle situations.