LiDAR Simulation Guide: Using ANSYS SPEOS for Best Results
Hi, this is Majid from Ozen Engineering. Today, I would like to discuss how we can design a LiDAR system using ANSYS SPEOS 2024 R2.
Simulation Setup
To perform a simulation in ANSYS SPEOS, follow these steps:
- Define optical properties.
- Define geometry.
- Insert source, sensors, and simulations.
This process is exemplified in the ANSYS SPEOS knowledge articles.
Material Definition
For materials, you can use different types such as:
- Water: Define parameters like optics index and absorption.
- Concrete: Define volume and surface properties. No texture is used, and it's a solid body.
These materials can be imported from the library and assigned to geometries like water puddles, pedestrians, and roads.
Geometry Design
For geometry design, you can:
- Import your CAD file.
- Use SpaceClaim to design your geometry.
In this example, we focus on the LiDAR setup.
LiDAR Setup
For the LiDAR system, we define the geometry and use the sensor tool:
- Select from the LiDAR library, such as rotating or static scanning LiDAR.
- Set up orientation on the X and Y axes.
- Use ANSYS resources for guidance on setup.
Source and Sensor Configuration
- Define the source type, such as Gaussian, with parameters like full width half maximum angle.
- Configure sensors by defining width, height, and optical distortion if present.
Simulation Execution
To run the simulation:
- Ensure all components, including sensors, are included in the simulation.
- Right-click and select "Compute" to start the simulation.
After completion, calculate parameters like time of flight and point cloud data.
Results and Analysis
Post-simulation, analyze results such as:
- Time of flight.
- Power absorption and radiometry parameters.
- Access to all parameters and geometry used in the simulation.
Signal Processing
Use signal processing tools to:
- Access parameters like channel peaks and export raw data.
- Generate PCD files and view them using a PCD viewer.
This allows visualization of LiDAR data, showing different distances with color coding.
Thank you for watching this video. I hope you found it informative.
LiDAR Simulation Guide: Using ANSYS SPEOS for Best Results Hi, this is Majid from Ozen Engineering. Today, I would like to discuss how we can design a LiDAR system using ANSYS SPEOS. I will use ANSYS SPEOS 2024 R2 for this demonstration.
First, for the ANSYS SPEOS light simulation, you will see in the light simulation tab that we can do the simulation as follows: 1. Define optical properties 2. Define geometry 3. Insert source and sensors Here's an example from the ANSYS SPEOS knowledge base articles: For the material, you can see we have different materials like water.
In water, you can see the parameters we can use to determine the material. You can import the material to define water. For instance, for the pedestrian, you can define a volumetric property. We have three pedestrians.
For the structure, you see here we have pedestrian 1, pedestrian 2, and pedestrian 3. For concrete, you can define the type as volume and surface property. We have face property, and the type is a solid body. You can import other types and use the library material to assign the concrete or fall.
For the geometry, you can import your CAD file or use Space Claim to design your geometry. For the LiDAR example, we define our geometry as follows: Now, let's focus on the LiDAR library.
You have a library for geometric light, signal processing, and we want to use this feature to simulate the LiDAR. Let's use the library first. For the LiDAR, you can select the type, such as rotating LiDAR or static scanning LiDAR. You can set up the orientation for the LiDAR.
For the LiDAR source, you can define the wire firing sequence. In another file, I will discuss how to define scanning, tracking, and rotating sequences. For the sensors, you can define the width and height of your sensor. For the LiDAR, we have a source, optics, and a sensor.
We need to define the source, the optical system, and the sensor parameters. For the simulation, you can import the simulation and include the sensor in the simulation. Now, we can do the simulation. We can calculate the time of flight and use the sensor tools to calculate the point cloud.
For the signal processing, you can access the parameters like channel, peak max, peak first, multiple peaks, and raw data. You can export the PCD file. In the PCD viewer, you can see the intensity and distance.
The different colors show different distances for the LiDAR and the distribution of the LiDAR. I hope you enjoyed this video. Thank you for your attention.
