Choose a Sensor for 3D Simulation

You can use the 3D simulation environment in Automated Driving Toolbox™ to obtain high-fidelity sensor data. This environment is rendered using the Unreal Engine^® from Epic Games^®.

The table summarizes the sensor blocks that you can simulate in this environment.

Sensor Block	Description	Visualization	Example
Simulation 3D Camera	Camera with lens that is based on the ideal pinhole camera. See What Is Camera Calibration? (Computer Vision Toolbox) Includes parameters for image size, focal length, distortion, and skew Includes options to output ground truth for depth estimation and semantic segmentation	Display camera images by using a Video Viewer or To Video Display block. Sample visualization:	Design of Lane Marker Detector in 3D Simulation Environment
		Display depth maps by using a Video Viewer or To Video Display block. Sample visualization:	Visualize Depth and Semantic Segmentation Data in 3D Environment
		Display semantic segmentation maps by using a Video Viewer or To Video Display block. Sample visualization:	Visualize Depth and Semantic Segmentation Data in 3D Environment
Simulation 3D Fisheye Camera	Fisheye camera that can be described using the Scaramuzza camera model. See Fisheye Calibration Basics (Computer Vision Toolbox) Includes parameters for distortion center, image size, and mapping coefficients	Display camera images by using a Video Viewer or To Video Display block. Sample visualization:	Simulate a Simple Driving Scenario and Sensor in 3D Environment
Simulation 3D Lidar	Scanning lidar sensor model Includes parameters for detection range, resolution, and fields of view	Display point cloud data by using `pcplayer` within a MATLAB Function block. Sample visualization:	Simulate Lidar Sensor Perception Algorithm
Simulation 3D Lidar		Display lidar coverage areas and detections by using the Bird's-Eye Scope. Sample visualization:	Visualize 3D Simulation Sensor Coverages and Detections
Simulation 3D Probabilistic Radar	Probabilistic radar model that returns a list of detections Includes parameters for radar accuracy, radar bias, detection probability, and detection reporting	Display radar coverage areas and detections by using the Bird's-Eye Scope. Sample visualization:	Simulate Radar Sensors in 3D Environment Visualize 3D Simulation Sensor Coverages and Detections

Documentation

Choose a Sensor for 3D Simulation

See Also

Blocks

Related Topics

Automated Driving Toolbox Documentation

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