Automated dynamic vehicle blind spot determination
First Claim
Patent Images
1. A method, comprising:
- monitoring, via a computing device, a driver'"'"'s orientation within a first vehicle;
detecting a change in the driver'"'"'s orientation;
calculating, 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;
applying 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
predicting 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.
1 Assignment
0 Petitions
Accused Products
Abstract
A driver'"'"'s orientation within a vehicle is monitored. A change in the driver'"'"'s orientation is detected. A change to a blind spot of the vehicle is calculated based upon the detected change in the driver'"'"'s orientation. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.
-
Citations
18 Claims
-
1. A method, comprising:
-
monitoring, via a computing device, a driver'"'"'s orientation within a first vehicle; detecting a change in the driver'"'"'s orientation; calculating, 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; applying 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 predicting 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system comprising:
-
a memory adapted to store a statistical model of dangerous vehicle situations; and a processor programmed 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 position, 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 the 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 dangerous vehicle situations. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
-
-
18. A system, comprising:
-
a memory adapted 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; and a processor programmed to; 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 from the memory; 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 to the memory.
-
Specification