Systems and methods for wide-angle LiDAR using non-uniform magnification optics
Methods and systems for combining information from a first image captured of a scene via a first sensor and information from a second image captured of the scene via a second sensor wherein the first image and second image have at least one common field of view (FoV) and wherein the first image comprises pixels that are distributed according to a non-linear image point distribution function. The first image is corrected, before combining, based on said non-linear distribution function.
1. A method, comprising:
capturing a first image of a scene via a first sensor;
(ii) capturing a second image of the scene via a second sensor different from the first sensor;
wherein the first and second images overlap to include at least one common field-of-view (FoV);
wherein the first image comprises pixels that are distributed in accordance with a non-linear image point distribution function relative to a field angle of object points of the FoV;
wherein one of the first and second images is a depth map;
(iii) correcting the first image based on said non-linear distribution function to produce a third image; and
(iv) combining the second and third images with each other to produce a composite image including information from the second image and information from the third image.
2. The method of claim 1 , wherein the image point distribution function is non-linear in the vertical direction between the horizon and the ground.
3. The method of claim 2 , wherein the image point distribution function has a maximum divergence of at least ±10% compared to a linear distribution function, in the vertical direction.
4. The method of claim 2 , wherein the image point distribution function is substantially linear in the horizontal direction.
5. The method of claim 1 , wherein the third image has more pixels than the first image.
6. The method of claim 5 , wherein some of the pixels of the third image correspond directly to pixels of the first image and wherein other ones of the pixels of the third image correspond to interpolated versions of some of the pixels of the first image.
7. The method of claim 6 , further comprising interpolating said some of the pixels of the first image to produce said other ones of the pixels in the third image.
8. The method of claim 1 , wherein the other one of the first and second images is a 2D camera image.
9. The method of claim 8 , wherein the first sensor comprises an array of photodiodes and wherein the second sensor comprises a digital camera.
10. The method of claim 1 , wherein the second image comprises pixels that are distributed in accordance with a substantially linear distribution function relative to a field angle of object points of the FoV.
11. The method of claim 1 , wherein the FoV comprises a vertical FoV and a horizontal FoV.
12. The method of claim 11 , wherein the vertical FoV spans at least 60 degrees and the horizontal FoV spans at least 150 degrees.
13. The method of claim 11 , the image point distribution function being non-linear relative to a field angle of object points in at least the vertical FoV.
14. The method of claim 11 , the image point distribution function being non-linear relative to a field angle of object points in both the horizontal FoV and the vertical FoV.
15. The method of claim 1 , wherein the composite image is an RGBD image.
16. The method of claim 1 , wherein the first image comprises at least one substantially compressed zone and at least one substantially expanded zone, and wherein correcting the first image comprises at least one of (i) compressing the substantially expanded zone and (ii) expanding the substantially compressed zone, to produce the third image.
17. The method of claim 1 , wherein capturing the second image of the scene is carried out by sequentially capturing different subportions of the FoV as illuminated by an optical signal emitted in a controllable direction.