Target identification for vehicle see-through applications
Examples of the disclosure relate to example systems and methods for operating a see-through display for a vehicle. An example system includes a video camera positioned to capture video related to a vehicle structure that blocks a view of the driver. The system also includes a see-through display disposed inside the vehicle between the vehicle structure and the driver. The system also includes a processor configured to identify a closest object within a field of view of the video camera, determine a distance to the closest object, and process the captured video based, at least in part, on the distance to determine a portion of the captured video to be displayed on the see-through display. The processor renders the portion of the captured video to create a see-through effect relative to the vehicle structure.
1. A see-through system for a vehicle, comprising:
a video camera positioned to capture video related to a vehicle structure that blocks a view of a driver of the vehicle;
a see-through display disposed inside the vehicle between the vehicle structure and the driver; and
a processor configured to:
identify a closest object within a field of view of the video camera, wherein to identify the closest object comprises processing a list of objects in a vicinity of the vehicle, wherein the list of objects is received from an Automatic Driver Assistance System;
determine a distance to the closest object;
process the captured video based, at least in part, on the distance to determine a portion of the captured video to be displayed on the see-through display; and
render the portion of the captured video to create a see-through effect relative to the vehicle structure.
2. The see-through system of claim 1 , wherein processing the list comprises filtering the list to discard objects that are past a maximum distance.
3. The see-through system of claim 1 , wherein processing the list comprises comparing position coordinates of an object from the list with a view cone of the camera.
4. The see-through system of claim 1 , wherein the video camera is a range camera and wherein to identify the closest object comprises receiving distance information from the video camera.
5. The see-through system of claim 1 , wherein to process the captured video comprises cropping an outer portion of the captured video, wherein a size of the cropped area is proportional to the distance.
6. The see-through system of claim 1 , wherein to process the captured video comprises determining the portion of the captured video to be displayed based additionally on an eye position of the driver.
7. The see-through system of claim 1 , wherein the vehicle structure that blocks the view of the driver is an A-pillar.
8. The see-through system of claim 1 , wherein the vehicle structure that blocks the view of the driver is a first A-pillar, the see-through system further comprising:
a second video camera positioned to capture video related to a second A-pillar; and
a second see-through display disposed inside the vehicle between the second A-pillar and the driver.
9. A method of operating a see-through system for a vehicle comprising:
identifying a closest object within a field of view of a video camera, wherein identifying the closest object comprises processing a list of objects in a vicinity of the vehicle, wherein the list of objects is received from an Automatic Driver Assistance System;
determining a distance to the closest object;
processing the video captured by the video camera based, at least in part, on the distance to determine a portion of the video to be displayed on a see-through display positioned between a driver and a vehicle structure that block the driver's view of the outside environment; and
rendering the portion of the video to create a see-through effect relative to the vehicle structure.
10. The method of claim 9 , wherein processing the list comprises filtering the list to discard objects that are past a maximum distance.
11. The method of claim 9 , wherein processing the list comprises comparing position coordinates of an object from the list with a view cone of the camera.
12. The method of claim 9 , wherein the video camera is a range camera and wherein identifying the closest object comprises receiving distance information from the video camera.
13. The method of claim 9 , wherein processing the video comprises cropping an outer portion of the video, wherein a size of the cropped area is proportional to the distance.
14. The method of claim 9 , wherein the vehicle structure that block the driver's view of the outside environment is an A-pillar.
15. A non-transitory computer-readable medium comprising instructions to direct the actions of a processor to operate a see-through system of a vehicle, the instructions to direct the processor to:
identify a closest object within a field of view of a video camera, wherein to identify the closest object comprises processing a list of objects in a vicinity of the vehicle, wherein the list of objects is received from an Automatic Driver Assistance System;
determine a distance to the closest object;
process the video captured by the video camera based, at least in part, on the distance to determine a portion of the video to be displayed on a see-through display positioned between a driver and a vehicle structure that block the driver's view of the outside environment; and
render the portion of the video to create a see-through effect relative to the vehicle structure.
16. The non-transitory computer-readable medium of claim 15 , wherein to identify the closest object comprises determining a list of objects in a vicinity of the vehicle, filtering the list to discard objects that are past a maximum distance, and comparing position coordinates of an object from the list with a view cone of the video camera.
17. The non-transitory computer-readable medium of claim 15 , wherein to process the video comprises cropping an outer portion of the video, wherein a size of the cropped area is proportional to the distance.
18. The non-transitory computer-readable medium of claim 15 , wherein to process the video comprises determining the portion of the video to be displayed based additionally on an eye position of the driver.