Vehicle to infrastructure system and method with long wave infrared capability
A system and method for operating a Vehicle to Infrastructure (V2I) system. The method includes receiving images from an infrared (IR) camera, determining whether a non-uniform noise exists within the received images, performing a calibration, upon determining that the non-uniform noise exists, performing a Non-Uniformity Correction (NUC) on the IR, upon determining that there is residual non-uniform noise, after performing the calibration, and determining that the IR camera has not detected a moving object that is approaching the IR camera, determining whether a Field of View (FOV) of the IR camera is occluded, after performing the NUC, and cleaning the IR camera, upon determining that the FOV of the infrared camera is occluded.
1. A method for operating a vehicle to infrastructure (V2I) system, comprising:
receiving images from an infrared (IR) camera;
determining whether a non-uniform noise exists within the received images;
performing a calibration, upon determining that the non-uniform noise exists;
performing a Non-Uniformity Correction (NUC) on the IR, upon determining that there is residual non-uniform noise, after performing the calibration, and determining that the IR camera has not detected a moving object that is approaching the IR camera;
determining whether a Field of View (FOV) of the IR camera is occluded, after performing the NUC; and
cleaning the IR camera, upon determining that the FOV of the infrared camera is occluded.
2. The method of claim 1 , wherein:
the IR camera includes a shutter; and
the shutter is closed over the infrared (IR) camera during the performance of Non-Uniformity Correction (NUC).
3. The method of claim 2 , further comprising: keeping the shutter open during the determination of whether the non-uniform noise exists.
4. The method of claim 2 , further comprising: keeping the shutter open during the performance of the calibration.
5. The method of claim 1 , wherein the calibration including one of: a rectification with another image or a geometric calibration.
6. The method of claim 5 , further comprising: performing geometric calibration based on scene distance measurements that are performed during range estimation between the IR camera and the vehicle.
7. The method of claim 1 , further comprising:
forming a pixel-based correction to correct one of: unmodeled offset, gain, or drift noise for each pixel within the received images.
8. The method of claim 7 , further comprising: correcting the drift noise based on a temperature drift correction for the each pixel within the received images.
9. The method of claim 7 , further comprising: correcting the drift noise by calculating a gamma drift coefficient and subtracting a product of predetermined drift value for each pixel and the calculated gamma drift coefficient.
10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:
receiving images from an infrared (IR) camera;
determining whether a non-uniform noise exists within the received images;
performing a calibration, upon determining that the non-uniform noise exists;
performing a Non-Uniformity Correction (NUC) on the IR, upon determining that there is residual non-uniform noise, after performing the calibration, and determining that the IR camera has not detected a moving object that is approaching the IR camera;
determining whether a Field of View (FOV) of the IR camera is occluded, after performing the NUC; and
cleaning the IR camera, upon determining that the FOV of the infrared camera is occluded.
11. A Vehicle to Infrastructure (V2I) system for detecting objects, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
receive images from an infrared (IR) camera;
determine whether a non-uniform noise exists within the received images;
perform a calibration, upon determining that the non-uniform noise exists;
perform a Non-Uniformity Correction (NUC) on the IR, upon determining that there is residual non-uniform noise, after performing the calibration, and determining that the IR camera has not detected a moving object that is approaching the IR camera;
determine whether a Field of View (FOV) of the IR camera is occluded, after performing the NUC; and
clean the IR camera, upon determining that the FOV of the infrared camera is occluded.
12. The system of claim 11 , wherein:
the IR camera includes a shutter; and
the shutter is closed over the infrared (IR) camera during the performance of Non-Uniformity Correction (NUC).
13. The system of claim 12 , wherein the shutter is kept open during the determination of whether the non-uniform noise exists.
14. The system of claim 12 , wherein the shutter is kept open during the performance of the calibration.
15. The system of claim 11 , wherein the calibration including one of a rectification with another image or a geometric calibration.
16. The system of claim 15 , wherein the geometric calibration is determined based on scene distance measurements that are performed during range estimation between the IR camera and the vehicle.
17. The system of claim 11 , wherein the system is further configured to form a pixel-based correction to correct one of unmodeled offset, gain, or drift noise for each pixel within the received images.
18. The system of claim 17 , wherein the drift noise is corrected based on a temperature drift correction for the each pixel within the received images.
19. The system of claim 17 , wherein the drift noise is corrected by calculating a gamma drift coefficient and subtracting a product of predetermined drift value for each pixel and the calculated gamma drift coefficient.
20. The method of claim 1 , wherein the non-uniform noise existing in the images from the IR camera is caused by at least one of temperature change and position change due to wind impacting on the IR camera.