Simulation 3D Lidar

Libraries:
UAV Toolbox /
Simulation 3D
Automated Driving Toolbox /
Simulation 3D
Description
The Simulation 3D Lidar block provides an interface to the lidar sensor in a 3D simulation environment. This environment is rendered using the Unreal Engine® from Epic Games®. The block returns a point cloud with the specified field of view and angular resolution. You can also output the distances from the sensor to object points and the reflectivity of surface materials. In addition, you can output the location and orientation of the sensor in the world coordinate system of the scene.
If you set Sample time to -1
, the block uses the
sample time specified in the Simulation 3D Scene Configuration block. To use
this sensor, ensure that the Simulation 3D Scene Configuration block is in your
model.
Note
The Simulation 3D Scene Configuration block must execute before the Simulation 3D Lidar block. That way, the Unreal Engine 3D visualization environment prepares the data before the Simulation 3D Lidar block receives it. To check the block execution order, right-click the blocks and select Properties. On the General tab, confirm these Priority settings:
Simulation 3D Scene Configuration —
0
Simulation 3D Lidar —
1
For more information about execution order, see Block Execution Order.
Examples
Ports
Output
Point cloud — Point cloud data
m-by-n-by-3 array of positive real-valued
[x, y, z] points
Point cloud data, returned as an m-by-n-by 3 array of positive, real-valued [x, y, z] points. m and n define the number of points in the point cloud, as shown in this equation:
where:
VFOV is the vertical field of view of the lidar, in degrees, as specified by the Vertical field of view (deg) parameter.
VRES is the vertical angular resolution of the lidar, in degrees, as specified by the Vertical resolution (deg) parameter.
HFOV is the horizontal field of view of the lidar, in degrees, as specified by the Horizontal field of view (deg) parameter.
HRES is the horizontal angular resolution of the lidar, in degrees, as specified by the Horizontal resolution (deg) parameter.
Each m-by-n entry in the array specifies the
x, y, and z coordinates of
a detected point in the sensor coordinate system. If the lidar does not detect a point
at a given coordinate, then x, y, and
z are returned as NaN
.
Data Types: single
Distance — Distance to object points
m-by-n positive real-valued matrix
Distance to object points measured by the lidar sensor, returned as an m-by-n positive real-valued matrix. Each m-by-n value in the matrix corresponds to an [x, y, z] coordinate point returned by the Point cloud output port.
Dependencies
To enable this port, on the Parameters tab, select Distance outport.
Data Types: single
Reflectivity — Reflectivity of surface materials
m-by-n matrix of intensity values in range [0, 1]
Reflectivity of surface materials, returned as an m-by-n matrix of intensity values in the range [0, 1], where m is the number of rows in the point cloud and n is the number of columns. Each point in the Reflectivity output corresponds to a point in the Point cloud output. The block returns points that are not part of a surface material as NaN
.
To calculate reflectivity, the lidar sensor uses the Phong reflection model. This model describes surface reflectivity as a combination of diffuse reflections (scattered reflections, such as from rough surfaces) and specular reflections (mirror-like reflections, such as from smooth surfaces). For more details on this model, see the Phong reflection model page on Wikipedia.
Dependencies
To enable this port, select the Reflectivity outport parameter.
Data Types: single
Location — Sensor location
real-valued 1-by-3 vector
Sensor location along the X-axis, Y-axis, and Z-axis of the scene. The Location values are in the world coordinates of the scene. In this coordinate system, the Z-axis points up from the ground. Units are in meters.
Dependencies
To enable this port, on the Ground Truth tab, select Output location (m) and orientation (rad).
Data Types: double
Orientation — Sensor orientation
real-valued 1-by-3 vector
Roll, pitch, and yaw sensor orientation about the X-axis, Y-axis, and Z-axis of the scene. The Orientation values are in the world coordinates of the scene. These values are positive in the clockwise direction when looking in the positive directions of these axes. Units are in radians.
Dependencies
To enable this port, on the Ground Truth tab, select Output location (m) and orientation (rad).
Data Types: double
Parameters
Mounting
Sensor identifier — Unique sensor identifier
1
(default) | positive integer
Specify the unique identifier of the sensor. In a multisensor system, the sensor identifier enables you to distinguish between sensors. When you add a new sensor block to your model, the Sensor identifier of that block is N + 1, where N is the highest Sensor identifier value among the existing sensor blocks in the model.
Example: 2
Parent name — Name of parent vehicle
Scene Origin
(default) | vehicle name
Name of the parent to which the sensor is mounted, specified as Scene
Origin
or as the name of a vehicle in your model. The vehicle names
that you can select correspond to the Name parameters of the
simulation 3D vehicle blocks in your model. If you select Scene
Origin
, the block places a sensor at the scene origin.
Example: SimulinkVehicle1
Mounting location — Sensor mounting location
Origin
(default)
Sensor mounting location.
When Parent name is
Scene Origin
, the block mounts the sensor to the origin of the scene, and Mounting location can be set toOrigin
only. During simulation, the sensor remains stationary.When Parent name is the name of a vehicle (for example,
SimulinkVehicle1
) the block mounts the sensor to one of the predefined mounting locations described in the table. During simulation, the sensor travels with the vehicle.
Vehicle Mounting Location | Description | Orientation Relative to Vehicle Origin [Roll, Pitch, Yaw] (deg) |
---|---|---|
Origin | Forward-facing sensor mounted to the vehicle origin, which is on the ground, at the geometric center of the vehicle | [0, 0, 0] |
Roll, pitch, and yaw are clockwise-positive when looking in the positive direction of the X-axis, Y-axis, and Z-axis, respectively. When looking at a vehicle from the top down, then the yaw angle (that is, the orientation angle) is counterclockwise-positive, because you are looking in the negative direction of the axis.
The (X, Y, Z) mounting location of the sensor relative to the vehicle depends on the vehicle type. To specify the vehicle type, use the Type parameter of the Simulation 3D UAV Vehicle block to which you are mounting. To obtain the (X, Y, Z) mounting locations for a vehicle type, see the reference page for that vehicle.
To determine the location of the sensor in world coordinates, open the sensor block. Then, on the Ground Truth tab, select Output location (m) and orientation (rad) and inspect the data from the Location output port.
Specify offset — Specify offset from mounting location
off
(default) | on
Select this parameter to specify an offset from the mounting location by using the Relative translation [X, Y, Z] (m) and Relative rotation [Roll, Pitch, Yaw] (deg) parameters.
Relative translation [X, Y, Z] (m) — Translation offset relative to mounting location
[0, 0, 0]
(default) | real-valued 1-by-3 vector
Translation offset relative to the mounting location of the sensor, specified as a real-valued 1-by-3 vector of the form [X, Y, Z]. Units are in meters.
If you mount the sensor to a vehicle by setting Parent name to the name of that vehicle, then X, Y, and Z are in the vehicle coordinate system, where:
The X-axis points forward from the vehicle.
The Y-axis points to the left of the vehicle, as viewed when looking in the forward direction of the vehicle.
The Z-axis points up.
The origin is the mounting location specified in the Mounting location parameter. This origin is different from the vehicle origin, which is the geometric center of the vehicle.
If you mount the sensor to the scene origin by setting Parent name to Scene Origin
, then X, Y, and Z are in the world coordinates of the scene.
For more details about the vehicle and world coordinate systems, see Coordinate Systems for Unreal Engine Simulation in UAV Toolbox.
Example: [0,0,0.01]
Dependencies
To enable this parameter, select Specify offset.
Relative rotation [Roll, Pitch, Yaw] (deg) — Rotational offset relative to mounting location
[0, 0, 0]
(default) | real-valued 1-by-3 vector
Rotational offset relative to the mounting location of the sensor, specified as a real-valued 1-by-3 vector of the form [Roll, Pitch, Yaw] . Roll, pitch, and yaw are the angles of rotation about the X-, Y-, and Z-axes, respectively. Units are in degrees.
If you mount the sensor to a vehicle by setting Parent name to the name of that vehicle, then X, Y, and Z are in the vehicle coordinate system, where:
The X-axis points forward from the vehicle.
The Y-axis points to the left of the vehicle, as viewed when looking in the forward direction of the vehicle.
The Z-axis points up.
Roll, pitch, and yaw are clockwise-positive when looking in the forward direction of the X-axis, Y-axis, and Z-axis, respectively. If you view a scene from a 2D top-down perspective, then the yaw angle (also called the orientation angle) is counterclockwise-positive because you are viewing the scene in the negative direction of the Z-axis.
The origin is the mounting location specified in the Mounting location parameter. This origin is different from the vehicle origin, which is the geometric center of the vehicle.
If you mount the sensor to the scene origin by setting Parent name to Scene Origin
, then X, Y, and Z are in the world coordinates of the scene.
For more details about the vehicle and world coordinate systems, see Coordinate Systems for Unreal Engine Simulation in UAV Toolbox.
Example: [0,0,10]
Dependencies
To enable this parameter, select Specify offset.
Sample time — Sample time
-1
(default) | positive scalar
Sample time of the block, in seconds, specified as a positive scalar. The 3D simulation environment frame rate is the inverse of the sample time.
If you set the sample time to -1
, the block inherits its sample time from
the Simulation 3D Scene Configuration block.
Parameters
Detection range (m) — Maximum distance measured by lidar sensor
120
(default) | positive scalar
Maximum distance measured by the lidar sensor, specified as a positive scalar. Points outside this range are ignored. Units are in meters.
Range resolution (m) — Resolution of lidar sensor range
0.002
(default) | positive real scalar
Resolution of the lidar sensor range, in meters, specified as a positive real scalar. The range resolution is also known as the quantization factor. The minimal value of this factor is Drange / 224, where Drange is the maximum distance measured by the lidar sensor, as specified in the Detection range (m) parameter.
Vertical field of view (deg) — Vertical field of view
40
(default) | positive scalar
Vertical field of view of the lidar sensor, specified as a positive scalar. Units are in degrees.
Vertical resolution (deg) — Vertical angular resolution
1.25
(default) | positive scalar
Vertical angular resolution of the lidar sensor, specified as a positive scalar. Units are in degrees.
Horizontal field of view (deg) — Horizontal field of view
360
(default) | positive scalar
Horizontal field of view of the lidar sensor, specified as a positive scalar. Units are in degrees.
Horizontal resolution (deg) — Horizontal angular (azimuth) resolution
0.16
(default) | positive scalar
Horizontal angular (azimuth) resolution of the lidar sensor, specified as a positive scalar. Units are in degrees.
Distance outport — Output distance to measured object points
off
(default) | on
Select this parameter to output the distance to measured object points at the Distance port.
Reflectivity outport — Output reflectivity of surface materials
off
(default) | on
Select this parameter to output the reflectivity of surface materials at the Reflectivity port.
Ground Truth
Output location (m) and orientation (rad) — Output location and orientation of sensor
off
(default) | on
Select this parameter to output the location and orientation of the sensor at the Location and Orientation ports, respectively.
Tips
To visualize point clouds that are output by the Point cloud port, you can use a
pcplayer
object in a MATLAB Function block.The Unreal Engine can take a long time to start up between simulations, consider logging the signals that the sensors output. You can then use this data to develop perception algorithms in MATLAB®. See Mark Signals for Logging (Simulink).
Version History
Introduced in R2020b
MATLAB Command
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