Predictive sensor array configuration system for an autonomous vehicle

1. A sensor configuration system for an autonomous vehicle (AV), comprising:

one or more light sensing elements;

one or more processors; and

one or more memory resources storing instructions that, when executed by the one or more processors, cause the sensor configuration system to:

determine an imminent lighting condition for the one or more light sensing elements; and

execute a set of configurations for the one or more light sensing elements to preemptively compensate for the imminent lighting condition.

2. The sensor configuration system of claim 1 , wherein the AV stores a set of sub-maps comprising recorded surface data of a given region upon which the AV operates, and wherein the executed instructions cause the sensor configuration system to determine the imminent lighting condition by analyzing a current sub-map from the stored set of sub-maps.

3. The sensor configuration system of claim 2 , wherein the stored set of sub-maps identify road features that affect the imminent lighting condition, the road features comprising at least one of a tunnel, an overpass, or proximate buildings.

4. The sensor configuration system of claim 2 , wherein each sub-map in the set of sub-maps comprises at least one of recorded LIDAR data or recorded image data.

5. The sensor configuration system of claim 1 , wherein the executed instructions further cause the sensor configuration system to:

dynamically determine a brightness differential between a current lighting condition and the imminent lighting condition;

wherein executed instructions cause the sensor configuration system to determine the set of configurations based on the brightness differential.

6. The sensor configuration system of claim 1 , wherein execution of the set of configurations for the one or more light sensing elements comprises preemptively adjusting aperture settings of the one or more light sensing elements based on the imminent lighting condition.

7. The sensor configuration system of claim 1 , wherein the executed instructions cause the sensor configuration system to determine the imminent lighting condition by analyzing sensor data from a set of sensors of the AV.

8. The sensor configuration system of claim 1 , wherein changes in the imminent lighting condition correspond to at least one of shadows, lights, the Sun, or solar reflections.

9. The sensor configuration system of claim 1 , wherein the executed instructions cause the sensor configuration system to determine the imminent light condition by receiving data indicating the imminent lighting condition from forward operating AVs in relation to the AV.

10. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

determine an imminent lighting condition for one or more light sensing elements of an autonomous vehicle (AV); and

execute a set of configurations for the one or more light sensing elements to preemptively compensate for the imminent lighting condition.

11. The non-transitory computer-readable medium of claim 10 , wherein the AV stores a set of sub-maps comprising recorded surface data of a given region upon which the AV operates, and wherein the executed instructions cause the one or more processors to determine the imminent lighting condition by analyzing a current sub-map from the stored set of sub-maps.

12. The non-transitory computer-readable medium of claim 11 , wherein the stored set of sub-maps identify road features that affect the imminent lighting condition, the road features comprising at least one of a tunnel, an overpass, or proximate buildings.

13. The non-transitory computer-readable medium of claim 11 , wherein each sub-map in the set of sub-maps comprises at least one of recorded LIDAR data or recorded image data.

14. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions further cause the one or more processors to:

dynamically determine a brightness differential between a current lighting condition and the imminent lighting condition;

wherein executed instructions cause the one or more processors to determine the set of configurations based on the brightness differential.

15. The non-transitory computer-readable medium of claim 10 , wherein execution of the set of configurations for the one or more light sensing elements comprises preemptively adjusting aperture settings of the one or more light sensing elements based on the imminent lighting condition.

16. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions cause the one or more processors to determine the imminent lighting condition by analyzing sensor data from a set of sensors of the AV.

17. The non-transitory computer-readable medium of claim 10 , wherein the executed instructions cause the one or more processors to determine the imminent light condition by receiving data indicating the imminent lighting condition from forward operating AVs in relation to the AV.

18. A computer-implemented method of preemptively configuring sensors for an autonomous vehicle (AV), the method being performed by one or more processors and comprising:

determining an imminent lighting condition for one or more light sensing elements of the AV; and

executing a set of configurations for the one or more light sensing elements to preemptively compensate for the imminent lighting condition.

19. The method of claim 18 , wherein the AV stores a set of sub-maps comprising recorded surface data of a given region upon which the AV operates, and wherein the one or more processors determine the imminent lighting condition by analyzing a current sub-map from the stored set of sub-maps.

20. The method of claim 19 , wherein the stored set of sub-maps identify road features that affect the imminent lighting condition, the road features comprising at least one of a tunnel, an overpass, or proximate buildings.