Physics-Based Sensor Simulation
With a vision of accident-free driving, we must think ahead, not linger on today's ADAS functionality for active safety and comfort driving but move forward to tomorrow’s level of automated driving. Only the mapping of the real world into a virtual environment will enable us to efficiently validate vehicles, controllers, and sensors at early development stages and thus fulfill the requirements of driving millions of miles and hundreds of thousands of scenarios with the help of simulations.
dSPACE offers Physics-Based Sensor Simulation, a unique and complete solution based on simulating a sensor’s physical phenomena and properties. Validating ECUs at the perception layer requires simulation data at the raw data level. The physics-based sensor models for camera, radar, and lidar generate raw data by considering the entire 3-D scenery, including all geometries, weather conditions, and material properties.
The main focus of this training course is to cover the complete sensor simulation tool chain. You will learn how to configure the various sensor types and how to connect them to a system under test via an interface.
- Engineers working on SIL and/or HIL testing of ECUs for driver assistance systems
- Engineers working on virtual simulation and parameterization of sensors
- Engineers who test designs of driving functions by means of online simulation during development
- Recommended: Previous experience with ASM Traffic and ModelDesk
At the End of this course participants will be able to
- Get an overview of the complete sensor simulation tool chain and understand how to handle it
- Understand the different model concepts
- Use the ASM Traffic model for simulation on a dSPACE platform
- Use MotionDesk for configuring the physics-based sensors
- Use MotionDesk/SensorSim for sensor simulation
- Transfer the simulation data via the Environment Sensor Interface to a system under test
Close the loop to interact with the ASM Model
- ModelDesk
- MotionDesk
- Sensor Simulation
- Sensor Simulation radar module
- Sensor Simulation lidar module
- Virtual Environment Sensor Interface (V-ESI)
- Introduction to sensor simulation for validating ADAS/AD-functions
- Introduction to ASM Traffic
- Use of ASM Traffic for online simulation with dSPACE processing hardware or VEOS
- Introduction to the physics-based sensor models for camera, radar, and lidar
- Configuration for different sensor types in MotionDesk
- Camera: Configuration of lens (including lens distortions), filter (Bayer pattern, etc.) and output format (RGB, raw data)
- Radar: Parameterization of the sensor settings (including TX, RX polarization) and use of post processing for data access
- Lidar: Parameterization of the sensor settings and modification of flash/scan and weather parameters
- Consideration of material properties through our material management database
- Connecting a system under test via an interface (ESI, V-ESI)
- Using Sensor Simulation instances to orchestrate multiple PC clusters
- Transfer commands to the simulation models in a closed-loop test environment
| Dates | Location and time | |
| On request | ||
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