Electronic device for vehicle and method of operating electronic device for vehicle

1. An electronic device for a vehicle, comprising:

a processor configured to:

receive first image data from a first camera,

receive second image data from the first camera or a second camera,

receive first sensing data from a first lidar,

generate a depth image based on the first image data and the second image data,

divide the depth image into a plurality of regions,

perform fusion of the first sensing data for each of the plurality of regions in the depth image,

acquire red-green-blue (RGB)-level data for each of the plurality of regions, and

acquire a distance value corresponding to an RGB-level for each of the plurality of regions based on a table in which distance values for RGB-levels are arranged.

2. The electronic device of claim 1 , wherein the processor is configured to divide the depth image such that each of the plurality of regions has a size in which two or three beam points of the first lidar are formed.

3. The electronic device of claim 2 , wherein the processor is configured to:

divide the depth image into (i) a plurality of first regions, each of the first regions having a first area and (ii) a plurality of second regions, each of the second regions having a second area, which is larger than the first area,

acquire RGB-level data for each of the first and second regions, and

acquire a distance value corresponding to an RGB level for each of the first and second regions from the table.

4. The electronic device of claim 3 , wherein the processor is configured to:

set a region of interest in the depth image, divide the region of interest into the plurality of first regions, and

set a region except the region of interest as the plurality of second regions in the depth image.

5. The electronic device of claim 1 , wherein the processor is configured to perform fusion of the depth image and the first sensing data using a simultaneous localization and mapping (SLAM) algorithm.

6. The electronic device of claim 5 , wherein the processor is configured to:

receive first image data photographed at a first time point from the first camera,

receive second image data photographed at the first time point from the second camera,

receive first sensing data acquired at the first time point from the first lidar,

generate a depth image of the first time point based on the first image data photographed at the first time point and the second image data photographed at the first time point, and

perform fusion of the first sensing data acquired at the first time point for each of the plurality of regions in the depth image captured at the first time point.

7. The electronic device of claim 6 , wherein the processor is configured to:

receive first image data photographed at a second time point from the first camera,

receive second image data photographed at the second time point from the second camera, and

generate a depth image of the second time point based on the first image data photographed at the second time point and the second image data photographed at the second time point.

8. The electronic device of claim 7 , wherein the processor is configured to:

receive first sensing data acquired at the second time point from the first lidar,

perform fusion of the first sensing data acquired at the second time point for each of the plurality of regions in the depth image of the first time point, and

perform fusion of the first sensing data acquired at the second time point for each of the plurality of regions in the depth image of the second time point.

9. The electronic device of claim 8 , wherein the processor is configured to:

acquire a moving distance value of the vehicle from the first time point to the second time point,

apply the moving distance value to the depth image captured at the first time point, and

perform fusion of the first sensing data acquired at the second time point into the depth image.

10. An electronic device for a vehicle, comprising:

a processor configured to:

receive first image data from a first camera,

receive second image data from the first camera or a second camera,

receive first sensing data from a first lidar,

generate a depth image based on the first image data and the second image data,

perform fusion of the first sensing data for each of divided regions in the depth image,

receive location data of another vehicle through a communicator,

detect an object corresponding to the another vehicle from the depth image, and

correct a value of a distance between the vehicle and the another vehicle based on the location data.

11. The electronic device of claim 1 , wherein the processor is configured to receive second sensing data from a second lidar, and further perform fusion of the second sensing data for each of the plurality of regions in the depth image.

12. An electronic device for a vehicle, comprising:

a first sensing device mounted in the vehicle, the first sensing device comprising a first camera generating first image data and a first lidar generating first sensing data;

a second sensing device mounted in the vehicle spaced apart from the first sensing device, the second sensing device comprising a second camera generating second image data and a second lidar generating second sensing data; and

at least one processor configured to generate a depth image based on the first image data and the second image data and perform fusion of the first sensing data and the second sensing data for each of divided regions in the depth image;

wherein the at least one processor is configured to:

detect an object corresponding to another vehicle from the depth image to correct a value of a distance between the vehicle and the another vehicle.

13. The electronic device of claim 12 , wherein the second sensing device is mounted in the vehicle at a same height as the first sensing device with respect to a ground.

14. The electronic device of claim 13 , wherein the first camera is mounted in the vehicle such that a line connecting a first principal point of a first image acquired by the first camera and a second principal point of a second image acquired by the second camera is parallel to a horizontal line.