Anticipatory vehicle headlight actuation
Anticipatory vehicle electronic control unit (ECU) actuation, including: determining, based on sensor data capturing an environment around a vehicle, a predicted environmental state corresponding to a future time and comprising a transition in exterior lighting; determining, based on the predicted environmental state, an actuation state for one or more headlights of the vehicle; and configuring the one or more headlights of the vehicle according to the actuation state before the future time.
1. A method comprising:
determining, based on sensor data capturing an environment around a vehicle, a predicted environmental state corresponding to a future time and comprising a transition in exterior lighting;
determining, based on the predicted environmental state, an actuation state for one or more headlights of the vehicle;
configuring, based on one or more timing criteria based on previous operator activity, the one or more headlights of the vehicle according to the actuation state before the future time;
determining, based on the predicted environmental state, a brightness for one or more interior displays of the vehicle; and
configuring, based on the one or more timing criteria, the one or more interior displays of the vehicle according to the determined brightness before the future time.
2. The method of claim 1 , wherein the sensor data comprises video data.
3. The method of claim 2 , wherein determining the predicted environmental state further comprises determining the predicted environmental state based on other sensor data from one or more non-camera sensors.
4. An apparatus comprising one or more processors and memory storing instructions that, when executed, cause the one or more processors to perform steps comprising:
determining, based on sensor data capturing an environment around a vehicle, a predicted environmental state corresponding to a future time and comprising a transition in exterior lighting;
determining, based on the predicted environmental state, an actuation state for one or more headlights of the vehicle;
configuring, based on one or more timing criteria based on previous operator activity, the one or more headlights of the vehicle according to the actuation state before the future time;
determining, based on the predicted environmental state, a brightness for one or more interior displays of the vehicle; and
configuring, based on the one or more timing criteria, the one or more interior displays of the vehicle according to the determined brightness before the future time.
5. The apparatus of claim 4 , wherein the sensor data comprises video data.
6. The apparatus of claim 5 , wherein determining the predicted environmental state further comprises determining the predicted environmental state based on other sensor data from one or more non-camera sensors.
7. A computer program product disposed upon a non-transitory computer readable medium, the computer program product comprising computer program instructions that, when executed, cause a computer system of the autonomous vehicle to carry out the steps of:
determining, based on sensor data capturing an environment around a vehicle, a predicted environmental state corresponding to a future time and comprising a transition in exterior lighting;
determining, based on the predicted environmental state, an actuation state for one or more headlights of the vehicle;
configuring, based on one or more timing criteria based on previous operator activity, the one or more headlights of the vehicle according to the actuation state before the future time;
determining, based on the predicted environmental state, a brightness for one or more interior displays of the vehicle; and
configuring, based on the one or more timing criteria, the one or more interior displays of the vehicle according to the determined brightness before the future time.
8. The computer program product of claim 7 , wherein the sensor data comprises video data.
9. The computer program product of claim 8 , wherein determining the predicted environmental state further comprises determining the predicted environmental state based on other sensor data from one or more non-camera sensors.