Estimating auto exposure values of camera by prioritizing object of interest based on contextual inputs from 3D maps
Systems and methods are provided for operating a vehicle, is provided. The method includes, by a vehicle control system of the vehicle, identifying map data for a present location of the vehicle using a location of the vehicle and pose and trajectory data for the vehicle, identifying a field of view of a camera of the vehicle, and analyzing the map data to identify an object that is expected to be in the field of view of the camera. The method further includes, based on (a) a class of the object, (b) characteristics of a region of interest in the field of view of the vehicle, or (c) both, selecting an automatic exposure (AE) setting for the camera. The method additionally includes causing the camera to use the AE setting when capturing images of the object, and using the camera, capturing the images of the object.
1. A method of operating a vehicle, the method comprising:
by a vehicle control system of the vehicle:
identifying map data for a present location of the vehicle using a location of the vehicle and pose and trajectory data for the vehicle;
identifying a field of view of a camera of the vehicle;
analyzing the map data to identify an object that is expected to be in the field of view of the camera;
causing the camera to capture an image including a region of interest expected to contain the object;
based on luminance levels of pixels in the region of interest, selecting an automatic exposure (AE) setting for the camera;
causing the camera to use the AE setting when capturing images of the object; and
causing the camera to capture the images of the object.
2. The method of claim 1 , wherein the selecting the AE setting further comprises:
using the map data to determine the region of interest.
3. The method of claim 1 , wherein the selecting the AE setting further comprises:
causing the camera to capture a second image including the region of interest in the field of view of the vehicle; and
determining whether the luminance level of the pixels within the region of interest of the second captured image satisfies a threshold luminance level.
4. The method of claim 3 , further comprising:
upon identifying that the luminance level of the pixels within the region of interest satisfies the threshold luminance level, analyzing the object to acquire data pertaining to the object.
5. The method of claim 3 , further comprising:
upon identifying that the luminance level of the pixels within the region of interest does not satisfy the threshold luminance level, adjusting the AE settings so that the luminance level of pixels in the region of interest satisfies the threshold luminance level.
6. The method of claim 1 , further comprising determining a class of the object.
7. The method of claim 6 , wherein selecting the automatic exposure (AE) setting for the camera comprises selecting the AE setting based on the class of the object and a lookup table which correlates one or more camera settings with luminance of the pixels in the region of interest.
8. The method of claim 1 , further comprising determining the region of interest.
9. The method of claim 1 , further comprising:
determining the location of the vehicle; and
receiving, from one or more vehicle sensors, the pose and trajectory data for the vehicle.
10. The method of claim 1 , wherein the vehicle is an autonomous vehicle.
11. A method of operating a vehicle, the method comprising:
by a vehicle control system of a vehicle:
determining a trajectory of the vehicle;
identifying map data for a present location of the vehicle;
analyzing the map data to:
identify an object that is expected to be in a field of view of a camera of the vehicle; and
determine a class of the object;
causing the camera to capture an image including a region of interest expected to contain the object;
based on luminance level of pixels in the region of interest, selecting an automatic exposure (AE) setting for the camera; and
causing the camera to use the AE setting when capturing images of the object.
12. The method of claim 11 , wherein the region of interest is a region of the field of view of the camera that is expected to contain the object.
13. The method of claim 12 , wherein the selecting the AE setting further comprises:
causing the camera to capture a second image including the region of interest in the field of view of the vehicle; and
determining whether the luminance level of the pixels within the region of interest of the second captured image satisfies a threshold luminance level.
14. The method of claim 13 , further comprising:
upon identifying that the luminance level of the pixels within the region of interest satisfies the threshold luminance level, analyzing the object to acquire data pertaining to the object.
15. The method of claim 13 , further comprising:
upon identifying that the luminance level of the pixels within the region of interest does not satisfy the threshold luminance level, adjusting the AE settings so that the luminance level of pixels in the region of interest satisfies the threshold luminance level.
16. The method of claim 11 , wherein the identifying map data includes using the trajectory to identify the map data.
17. The method of claim 11 , further comprising receiving, from one or more vehicle sensors, a pose and trajectory data for the vehicle.
18. The method of claim 11 , wherein the vehicle is an autonomous vehicle.
19. The method of claim 11 , wherein selecting the automatic exposure (AE) setting for the camera comprises selecting the AE setting based on the class of the object and a lookup table which correlates one or more camera settings with luminance of the pixels in the region of interest.