Sensor Simulation

Generate synthetic measurements for range-bearing and lidar sensors

Use the toolbox functions to model and simulate range-bearing and lidar sensors. Lidar sensor models generate 3-D point cloud data, and range-bearing sensor models generate 2-D scan data. You can explore the effects of sensor noise and environmental conditions on sensor performance. Using the lidar sensor model, you can generate point cloud data for a driving scene. For more information, see Generate Lidar Point Cloud Data for Driving Scenario with Multiple Actors.

Functions

lidarSensorSimulate lidar sensor readings (Since R2022a)
rangeSensorSimulate range-bearing sensor readings (Since R2020b)
lidarParametersLidar sensor parameters (Since R2021b)

Blocks

Lidar SensorGenerate lidar point cloud data for a scene (Since R2023a)

Featured Examples

Add Lidar Sensor Model with Simulated Weather Effects to RoadRunner Scenario

Add Lidar Sensor Model with Simulated Weather Effects to RoadRunner Scenario

Integrate a lidar sensor model into RoadRunner Scenario, generate lidar point cloud data in foggy weather conditions, and export lidar sensor simulation data to a rosbag file.

Integrate Lidar Sensor Model into RoadRunner Scenario and Cosimulate with Unreal Engine

Integrate Lidar Sensor Model into RoadRunner Scenario and Cosimulate with Unreal Engine

Integrate lidar sensor model with RoadRunner Scenario using Simulink® and cosimulate with Unreal Engine®.

Generate Lidar Point Cloud Data for Driving Scenario with Multiple Actors

Generate Lidar Point Cloud Data for Driving Scenario with Multiple Actors

Generate lidar point cloud data for a driving scene with roads, pedestrians, and vehicles created using a drivingScenario object.