Control of vehicle headlights based on weather conditions
Method and apparatus are disclosed for control of vehicle headlights based on weather conditions. An example vehicle includes headlamps including low-beam lamps and high-beam lamps. The example vehicle also includes a light sensor, a camera, and a controller. The controller is to set the low-beam lamps in active mode when the light sensor detects low ambient light, monitor for precipitation in the low ambient light via the camera, identify an angle-of-incidence (AOI) between the precipitation and light emitted by the headlamps, and control the high-beam lamps based on the AOI.
1. A vehicle comprising:
headlamps including low-beam lamps and high-beam lamps;
a light sensor;
a camera; and
a controller to:
set the low-beam lamps in active mode when the light sensor detects low ambient light;
monitor for precipitation in the low ambient light via the camera;
identify an angle-of-incidence (AOI) between the precipitation and light emitted by the headlamps, wherein the controller utilizes image recognition to identify the AOI based on an image captured by the camera; and
control the high-beam lamps based on the AOI.
2. The vehicle of claim 1 , wherein the controller is to:
monitor for smoke in the low ambient light via the camera; and
identify the AOI between the smoke and the light emitted by the headlamps.
3. The vehicle of claim 1 , wherein, to control the high-beam lamps based on the AOI, the controller is to set the low-beam lamps in inactive mode responsive to detecting a precipitation flow-stream that is perpendicular or parallel to the light emitted by the headlamps.
4. The vehicle of claim 1 , wherein, to control the high-beam lamps based on the AOI, the controller is to adjust the high-beam lamps to emit high beams in a direction of a precipitation flow-stream that corresponds with cross wind.
5. The vehicle of claim 1 , wherein the controller is to:
identify a clear line-of-sight within the precipitation based on the image captured by the camera; and
cause the high-beam lamps to emit high beams in a direction of the clear line-of-sight.
6. The vehicle of claim 1 , wherein the controller is to:
detect at least one of a nearby pedestrian and an oncoming vehicle based on at least one of the camera and a proximity sensor; and
set the low-beam lamps in inactive mode responsive to detecting the at least one of the nearby pedestrian and the oncoming vehicle.
7. The vehicle of claim 1 , wherein the controller is to:
detect a line-of-sight of a vehicle operator; and
control the high-beam lamps based on the line-of-sight of the vehicle operator.
8. The vehicle of claim 7 , wherein the controller is configured to detect the line-of-sight via at least one of an interior camera, a seat position sensor, and a restraint control module.
9. The vehicle of claim 1 , wherein each of the high-beam lamps includes a plurality of LEDs and the controller adjusts which of the plurality of LEDs are active to adjust a direction in which the high-beam lamps emit high beams.
10. The vehicle of claim 1 , wherein each of the high-beam lamps includes a rotatable frame and the controller rotates the rotatable frame to adjust a direction in which the high-beam lamps emit high beams.
11. A vehicle comprising:
headlamps including low-beam lamps and high-beam lamps;
a communication module; and
a controller to:
set the low-beam lamps in active mode responsive to detecting low ambient light via the communication module;
monitor for precipitation in the low ambient light via the communication module;
identify an angle-of-incidence (AOI) between the precipitation and light emitted by the headlamps based on a direction-of-travel of the vehicle and a wind direction collected via the communication module; and
control the high-beam lamps based on the AOI.
12. The vehicle of claim 11 , wherein the communication module includes a dedicated short-range communication module.
13. The vehicle of claim 11 , further including a GPS receiver to identify a current vehicle location.
14. The vehicle of claim 13 , wherein the communication module is to obtain weather conditions for the current vehicle location from a remote weather service.
15. The vehicle of claim 14 , wherein the controller is to identify a predicted travel route based at least partially on the current vehicle location and the communication module is to obtain weather conditions for the predicted travel route from the remote weather service.
16. The vehicle of claim 11 , wherein, to control the high-beam lamps based on the AOI, the controller is to set the low-beam lamps in inactive mode responsive to detecting a precipitation flow-stream that is perpendicular or parallel to the light emitted by the headlamps.
17. The vehicle of claim 11 , wherein, to control the high-beam lamps based on the AOI, the controller is to adjust the high-beam lamps to emit high beams in a direction of a precipitation flow-stream that corresponds with cross wind.
18. A method comprising:
detecting, via a light sensor, an ambient light level of a vehicle;
setting low-beam lamps of headlamps in active mode when the light sensor detects low ambient light;
monitoring, via a camera, for precipitation in the low ambient light;
identifying, via a processor utilizing image recognition, an angle-of-incidence (AOI) between the precipitation and light emitted by the headlamps based on an image captured by the camera; and
controlling, via the processor, high-beam lamps of the headlamps based on the AOI.