Fisheye camera sensor model in 3D simulation environment
Automated Driving Toolbox / Simulation 3D
The Simulation 3D Fisheye Camera block provides an interface to a camera with a fisheye lens in a 3D simulation environment. This environment is rendered using the Unreal Engine® from Epic Games®. The sensor is based on the fisheye camera model proposed by Scaramuzza [1]. The block outputs an image with the specified camera distortion and size. You can also output the location and orientation of the camera in the world coordinate system of the scene.
If you set Sample time to -1
, the block uses the
sample time specified in the Simulation 3D Scene Configuration block. To use
this sensor, you must include a Simulation 3D Scene Configuration block in your
model.
Note
The Simulation 3D Scene Configuration block must execute before the Simulation 3D Fisheye Camera block. That way, the Unreal Engine 3D visualization environment prepares the data before the Simulation 3D Fisheye Camera block receives it. To check the block execution order, right-click the blocks and select Properties. On the General tab, confirm these Priority settings:
Simulation 3D Scene Configuration — 0
Simulation 3D Fisheye Camera — 1
For more information about execution order, see How Unreal Engine Simulation for Automated Driving Works.
To visualize the camera images that are output by the Image port, use a Video Viewer (Computer Vision Toolbox) or To Video Display (Computer Vision Toolbox) block.
Because the Unreal Engine can take a long time to start up between simulations, consider logging the signals that the sensors output. You can then use this data to develop perception algorithms in MATLAB®. See Configure a Signal for Logging (Simulink).
You can also save image data as a video by using a To Multimedia File (Computer Vision Toolbox) block. For an example of this setup, see Design Lane Marker Detector Using Unreal Engine Simulation Environment.
[1] Scaramuzza, D., A. Martinelli, and R. Siegwart. "A Toolbox for Easy Calibrating Omindirectional Cameras." Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006). Beijing, China, October 7–15, 2006.
fisheyeIntrinsics
(Computer Vision Toolbox)