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vehicleToImage

Convert vehicle coordinates to image coordinates

Description

imagePoints = vehicleToImage(monoCam,vehiclePoints) converts [x y] or [x y z] vehicle coordinates to [x y] image coordinates by applying a projective transformation. The monocular camera object, monoCam, contains the camera parameters.

example

Examples

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Create a forward-facing monocular camera sensor mounted on an ego vehicle. Examine an image captured from the camera and determine locations within the image in both vehicle and image coordinates.

Set the intrinsic parameters of the camera. Specify the focal length, the principal point of the image plane, and the output image size. Units are in pixels. Save the intrinsics as a cameraIntrinsics object.

focalLength = [800 800];
principalPoint = [320 240];
imageSize = [480 640];

intrinsics = cameraIntrinsics(focalLength,principalPoint,imageSize);

Specify the position of the camera. Position the camera 2.18 meters above the ground with a 14-degree pitch toward the ground.

height = 2.18;
pitch = 14;

Define a monocular camera sensor using the intrinsic camera parameters and the position of the camera. Load an image from the camera.

sensor = monoCamera(intrinsics,height,'Pitch',pitch);

Ioriginal = imread('road.png');
figure
imshow(Ioriginal)
title('Original Image')

Figure contains an axes object. The hidden axes object with title Original Image contains an object of type image.

Determine the image coordinates of a point 10 meters directly in front of the camera. The X-axis points forward from the camera and the Y-axis points to the left.

xyVehicleLoc1 = [10 0];
xyImageLoc1 = vehicleToImage(sensor,xyVehicleLoc1)
xyImageLoc1 = 1×2

  320.0000  216.2296

Display the point on the image.

IvehicleToImage = insertMarker(Ioriginal,xyImageLoc1);
IvehicleToImage = insertText(IvehicleToImage,xyImageLoc1 + 5,'10 meters');
figure
imshow(IvehicleToImage)
title('Vehicle-to-Image Point')

Figure contains an axes object. The hidden axes object with title Vehicle-to-Image Point contains an object of type image.

Determine the vehicle coordinates of a point that lies on the road surface in the image.

xyImageLoc2 = [300 300];
xyVehicleLoc2 = imageToVehicle(sensor,xyImageLoc2)
xyVehicleLoc2 = 1×2

    6.5959    0.1732

The point is about 6.6 meters in front of the vehicle and about 0.17 meters to the left of the vehicle center.

Display the vehicle coordinates of the point on the image.

IimageToVehicle = insertMarker(Ioriginal,xyImageLoc2);
displayText = sprintf('(%.2f m, %.2f m)',xyVehicleLoc2);
IimageToVehicle = insertText(IimageToVehicle,xyImageLoc2 + 5,displayText);

figure
imshow(IimageToVehicle)
title('Image-to-Vehicle Point')

Figure contains an axes object. The hidden axes object with title Image-to-Vehicle Point contains an object of type image.

Input Arguments

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Monocular camera parameters, specified as a monoCamera object.

Vehicle points, specified as an M-by-2 or M-by-3 matrix containing M number of [x y] or [x y z] vehicle coordinates.

Output Arguments

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Image points, returned as an M-by-2 matrix containing M number of [x y] image coordinates.

More About

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Extended Capabilities

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C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Version History

Introduced in R2017a