Augmented view projection of turning lane corners
An augmented reality system projects a sharp corner image onto rounded corners of turning lanes (e.g., curved ingress, egress lanes) from the eye point of the driver, when in the presence of pedestrian activity. The projected sharp corner image will cause the driver to slow down and/or alter the driving path and, thus, minimize or reduce the occurrence of road incidents at the intersection.
1 . A computer-implemented method to provide an augmented view of a turning lane corner for a driver of a vehicle, the method comprising:
as the vehicle approaches a turn at a rounded corner of a traffic intersection, detecting a presence of one or more pedestrians within proximity of the intersection; and
based upon the detected presence of the pedestrian, projecting a sharp corner image onto the rounded corner at an eye point of the driver such that, as the driver looks through a windshield of the vehicle, the sharp corner image is visible on the rounded corner in a line of sight of the driver.
2 . The computer-implemented method as defined in claim 1 , wherein:
the windshield is an augmented reality windshield; and
the sharp corner image is projected by the augmented reality windshield.
3 . The computer-implemented method as defined in claim 1 , wherein the sharp corner image is projected onto the rounded corner by augmented reality infrastructure of the intersection.
4 . The computer-implemented method as defined in claim 1 , wherein projecting the sharp corner image comprises:
determining a risk level associated with the intersection; and
adjusting, based upon the risk level, a degree of sharpness of the projected sharp corner image.
5 . The computer-implemented method as defined in claim 4 , wherein the risk level is based upon:
historic crash data at the intersection;
parameters of the vehicle; or
an attention assessment of the driver.
6 . The computer-implemented method as defined in claim 4 , wherein the risk level is based upon a number of pedestrians within proximity of the intersection.
7 . The computer-implemented method as defined in claim 4 , wherein the risk level is based upon a characteristic of the pedestrians.
8 . The computer-implemented method as defined in claim 4 , wherein the risk level is based upon weather data of the intersection.
9 . The computer-implemented method as defined in claim 1 , further comprising:
capturing data as the vehicle takes the turn; and
as the vehicle approaches the intersection at a subsequent time, projecting, based upon the data, a second sharp corner image onto the rounded corner.
10 . A system to provide an augmented view of a turning lane corner for a driver of a vehicle, the system comprising:
an augmented reality device; and
a processor communicably coupled to the augmented reality device, the processor comprising a memory and configured to perform operations comprising:
as the vehicle approaches a turn at a rounded corner of a traffic intersection, detecting a presence of one or more pedestrians within proximity of the intersection; and
based upon the detected presence of the pedestrian, projecting, using the augmented reality device, a sharp corner image onto the rounded corner at an eye point of the driver such that, as the driver looks through a windshield of the vehicle, the sharp corner image is visible on the rounded corner in a line of sight of the driver.
11 . The system as defined in claim 10 , wherein the augmented reality device is:
the windshield; or
an augmented reality infrastructure of the intersection.
12 . The system as defined in claim 10 , wherein projecting the sharp corner image comprises:
determining a risk level associated with the intersection; and
adjusting, based upon the risk level, a degree of sharpness of the projected sharp corner image.
13 . The system as defined in claim 12 , wherein the risk level is based upon:
historic crash data at the intersection;
parameters of the vehicle; or
an attention assessment of the driver.
14 . The system as defined in claim 12 , wherein the risk level is based upon:
a number of pedestrians within proximity of the intersection;
a characteristic of the pedestrians; or
weather data of the intersection.
15 . The system as defined in claim 10 , further comprising:
capturing data as the vehicle takes the turn; and
as the vehicle approaches the intersection at a subsequent time, projecting, based upon the data, a second sharp corner image onto the rounded corner.
16 . A vehicle, comprising:
a processor communicably coupled to an augmented reality device, the processor comprising a memory and configured to perform operations comprising:
as the vehicle approaches a turn at a rounded corner of a traffic intersection, detecting a presence of one or more pedestrians within proximity of the intersection; and
based upon the detected presence of the pedestrian, projecting, using the augmented reality device, a sharp corner image onto the rounded corner at an eye point of the driver such that, as the driver looks through a windshield of the vehicle, the sharp corner image is visible on the rounded corner in a line of sight of the driver.
17 . The vehicle as defined in claim 16 , wherein the augmented reality device is:
the windshield; or
an augmented reality infrastructure of the intersection.
18 . The vehicle as defined in claim 16 , wherein projecting the sharp corner image comprises:
determining a risk level associated with the intersection; and
adjusting, based upon the risk level, a degree of sharpness of the projected sharp corner image.
19 . The vehicle as defined in claim 18 , wherein the risk level is based upon:
historic crash data at the intersection;
parameters of the vehicle;
an attention assessment of the driver;
a number of pedestrians within proximity of the intersection;
a characteristic of the pedestrians; or
weather data of the intersection.
20 . The vehicle as defined in claim 16 , further comprising:
capturing data as the vehicle takes the turn; and
as the vehicle approaches the intersection at a subsequent time, projecting, based upon the data, a second sharp corner image onto the rounded corner.