In Automated Driving Toolbox™, you can obtain high-fidelity sensor data from a virtual environment. 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 |
---|---|---|---|
| Display camera images by using a Video Viewer (Computer Vision Toolbox) or To Video Display (Computer Vision Toolbox) block. Sample visualization: | Design Lane Marker Detector Using Unreal Engine Simulation Environment | |
Display depth maps by using a Video Viewer (Computer Vision Toolbox) or To Video Display (Computer Vision Toolbox) block. Sample visualization: | Depth and Semantic Segmentation Visualization Using Unreal Engine Simulation | ||
Display semantic segmentation maps by using a Video Viewer (Computer Vision Toolbox) or To Video Display (Computer Vision Toolbox) block. Sample visualization: | Depth and Semantic Segmentation Visualization Using Unreal Engine Simulation | ||
| Display camera images by using a Video Viewer (Computer Vision Toolbox) or To Video Display (Computer Vision Toolbox) block. Sample visualization: | Simulate Simple Driving Scenario and Sensor in Unreal Engine Environment | |
| Display point cloud data by using | Design Lidar SLAM Algorithm Using Unreal Engine Simulation Environment | |
Display lidar coverage areas and detections by using the Bird's-Eye Scope. Sample visualization: | Visualize Sensor Data from Unreal Engine Simulation Environment | ||
| Display radar coverage areas and detections by using the Bird's-Eye Scope. Sample visualization: | Simulate Vision and Radar Sensors in Unreal Engine Environment Visualize Sensor Data from Unreal Engine Simulation Environment | |
Simulation 3D Vision Detection Generator |
| Display vision coverage areas and detections by using the Bird's-Eye Scope. Sample visualization: | Simulate Vision and Radar Sensors in Unreal Engine Environment |