Camera Sensor Model

Realistically simulate a camera with a rectilinear or fish-eye lens and the corresponding sensor environment.

• High-fidelity graphics, lighting effects, and configurable realistic lens profiles
• Options for image modification and failure injection
• Configurable color filter for outputting raw sensor data
• Use ground truth information such as semantic segmentation, optical flow, and 2D bounding boxes to test and validate your algorithms

Lidar Sensor Model

Realistically simulate a lidar sensor and the corresponding sensor environment.

• Outputs a point cloud with realistic calculation of reflectivity values based on lidar-specific materials
• Support for scanning and flash-based sensors
• Realistic motion distortion effects with configurable time offsets for each ray

2D Bounding Boxes 

2D bounding boxes are two-dimensional boxes that enclose objects in the camera sensor. They can be used to automatically test if your perception algorithm correctly identifies the available objects in your scene. The information is given as binary data so you can use the information for automatic tests in your building pipeline.

• Parameterized for your camera sensor to give out pixel-perfect
  bounding boxes
• Also includes information about the class and instance of every object
• Filtered for the type of objects you need
• Can be configured to integrate or discard obscured areas

Ground Truth for Active Sensors

Ground truth is also available for our active sensors like radar and lidar. This includes e.g. information about the category and instance for each detection of a radar sensor and each point within a point cloud. This information can easily be obtained and used to train neuronal networks.

• Category IDs and instance IDs are identical across every sensor to identify sensors across the sensor data easily
• Different output modes require different kind of ground truth information (obtain them easily via a C API)

With our software, we offer support for standards like OpenScenario and OpenDrive, allowing us to automatically generate a 3D environment for you. This saves you time and effort, allowing you to focus on what matters most - your simulation.

• We provide tools to let you modify the road and also add 3D assets to the environment
• Roads and terrain are automatically generated based on OpenDrive files
• Our 3D asset library includes sensor specific materials for sensor-realistic simulation
• For a quick start, we provide multiple high-fidelity environments across urban and highway areas

With AURELION Manager, you can parametrize your virtual sensors and place them on a 3D representation of your ego car, giving you complete control over your sensor configuration. Our software solution allows you to optimize your AURELION instances and streamline your workflow.

• Import your 3D representation of your car into AURELION
• Visualize your sensor instances on a 3D model of your ego car
• Make accurate decisions about your sensor placement
• Distribute the load by specifying which sensor should be calculated on which PC
• Integrate AURELION into your test environment seamlessly with Automation API