Matlab Create Uav Scenario
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AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured workflow for creating and running UAV simulations using the MATLAB UAV Toolbox. It covers the end-to-end process of setting up a scenario, importing geographic data for terrain and buildings, defining UAV platforms with specific trajectories, and integrating sensor models like GPS and IMU. The framework emphasizes a time-stepping simulation loop, proper sensor binding via the adaptor pattern, and 3D visualization techniques to monitor flight paths and platform states.
What it does
- Initializes a UAV simulation environment with defined reference locations.
- Imports terrain and building data from geographic files or custom meshes.
- Configures UAV platforms with defined flight trajectories and body meshes.
- Binds sensors to platforms using the uavSensor adaptor pattern.
- Executes time-stepped simulation loops to collect sensor and platform data.
- Visualizes 3D flight scenarios and trajectory trails.
When to use it
- When you need to simulate UAV flight in a realistic 3D environment.
- When integrating sensor models like GPS or IMU into a UAV platform.
- When building a custom UAV simulator within the MATLAB environment.
- When you need to visualize UAV movement relative to terrain and buildings.
Advantages
- Provides a unified framework for managing complex simulation parameters.
- Supports realistic geographic data integration for terrain and urban environments.
- Ensures consistent coordinate frame management using NED conventions.
- Optimized for performance through efficient 3D visualization techniques.
Usage examples
- “How do I set up a basic UAV scenario in MATLAB?”
- The agent provides the uavScenario constructor syntax, showing how to define the update rate, stop time, and reference location.
- “How can I add buildings to my UAV simulation?”
- The agent explains the use of addMesh with an OSM file, specifying the required geometry cell format and color arguments.
- “How do I attach a GPS sensor to my UAV platform?”
- The agent demonstrates the uavSensor adaptor pattern, binding a gpsSensor object to the platform and explaining the update rate requirements.
- “How do I visualize the flight path of my UAV?”
- The agent provides a code pattern for updating a plot3 object inside the simulation loop to create a trajectory trail without sacrificing performance.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/matlab/matlab-create-uav-scenario/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip matlab-create-uav-scenario.zip -d .agents/skills
Documentation by MathWorks
Create UAV Scenario
Build and simulate UAV scenarios with terrain, buildings, sensor-equipped platforms, and 3D visualization using the UAV Toolbox uavScenario framework.
When to Use
Creating a UAV simulation environment with real-world terrain or buildings
Adding sensor-equipped UAV platforms (GPS, IMU, lidar) to a scenario
Running a time-stepping simulation loop with sensor readings
Visualizing UAV flight in 3D with
show3D
When NOT to Use
Generating flight trajectories (waypoint design, min-snap) — use trajectory skill instead
Simulink-based UAV simulation (UAV Toolbox Simulink blocks)
Path planning and obstacle avoidance algorithms
Coordinate conversion only (
ned2lla,lla2ned) — use these directly
Workflow
Create scenario —
uavScenariowithReferenceLocationandUpdateRateAdd terrain —
addMesh(scene,"terrain",...)with GMTED2010 or custom DTEDAdd buildings —
addMesh(scene,"buildings",...)from OSM fileAdd platform —
uavPlatformwith trajectory, thenupdateMeshAttach sensors —
uavSensoradaptor binding sensor to platformRun simulation —
setup→advance→updateSensors→readloopVisualize —
show3DwithFastUpdatefor animation
Key Functions
| Function | Purpose | Toolbox |
|---|---|---|
uavScenario | Create simulation scenario | UAV Toolbox |
addMesh | Add terrain, buildings, or custom meshes | UAV Toolbox |
uavPlatform | Add UAV platform to scenario | UAV Toolbox |
updateMesh | Set platform body mesh | UAV Toolbox |
uavSensor | Attach sensor to platform | UAV Toolbox |
setup | Initialize scenario for simulation | UAV Toolbox |
advance | Step simulation forward one time step | UAV Toolbox |
updateSensors | Update all sensors at current time | UAV Toolbox |
show3D | 3D visualization | UAV Toolbox |
waypointTrajectory | Define flight path from waypoints | Navigation Toolbox |
gpsSensor | GPS noise model | Navigation Toolbox |
insSensor | INS/IMU noise model | Navigation Toolbox |
Patterns
Create Scenario with Reference Location
scene = uavScenario( ...
"UpdateRate", 10, ...
"StopTime", 60, ...
"ReferenceLocation", [42.355 -71.066 0]);ReferenceLocation is [lat lon alt] in degrees and meters. All local coordinates are relative to this origin. Set this before adding any meshes or platforms.
Add Terrain (GMTED2010)
Use geographic coordinates with UseLatLon=true:
latLim = [42.350 42.360];
lonLim = [-71.072 -71.060];
addMesh(scene, "terrain", {"gmted2010", latLim, lonLim}, [0.3 0.6 0.2], ...
UseLatLon=true);Or use local ENU coordinates (meters) without UseLatLon:
xLim = [-500 500];
yLim = [-500 500];
addMesh(scene, "terrain", {"gmted2010", xLim, yLim}, [0.3 0.6 0.2]);The geometry cell for terrain is 3 elements: {"gmted2010", xOrLatLim, yOrLonLim}.
The color argument is required — it is not optional.
If user used addCustomTerrain to import DTED file with a terrain name, this terrain can be used in addition to gmted2010.
addCustomTerrain("myterrain", "myterrain.dt1");
xLim = [-500 500];
yLim = [-500 500];
addMesh(scene, "terrain", {"myterrain", xLim, yLim}, [0.3 0.6 0.2]);Add Buildings (OSM File)
osmFile = "boston_common.osm";
latLim = [42.350 42.360];
lonLim = [-71.072 -71.060];
addMesh(scene, "buildings", {osmFile, latLim, lonLim, 'auto'}, ...
[0.6 0.6 0.6], UseLatLon=true);Or use local ENU coordinates (meters) without UseLatLon:
xLim = [-500 500];
yLim = [-500 500];
addMesh(scene, "buildings", {osmFile, xLim, yLim, 'auto'}, [0.3 0.6 0.2]);The geometry cell for buildings is 4 elements: {osmFile, latOrXLim, lonOrYLim, height}. height can either be 'auto' or a numerical scalar. Auto will snap buildings to terrain height if available.
The color argument is required — it is not optional.
Add Platform with Mesh
traj = waypointTrajectory( ...
"Waypoints", [0 0 -50; 200 0 -50; 200 200 -50; 0 0 -50], ...
"TimeOfArrival", [0 20 40 60], ...
"ReferenceFrame", "NED");
plat = uavPlatform("UAV1", scene, "Trajectory", traj);
updateMesh(plat, "quadrotor", {1}, [0 0.4 0.8], [0 0 0], [0 1 0 0]);updateMesh requires all arguments: (platform, type, geometries, color, position, orientation).
geometries— 1-element cell:{scaleFactor}for"quadrotor"/"fixedwing",{[L W H]}for"cuboid"color— RGB triplet (required, not optional)position—[x y z]offset, use[0 0 0]for defaultorientation— quaternion[w x y z], use[0 1 0 0]for NED scenarios (180-degree roll to flip z-down body frame upright)
Valid mesh types: "fixedwing", "quadrotor", "cuboid", "custom".
There is NO "multirotor" type — use "quadrotor" for any multirotor UAV.
Attach Sensors (uavSensor Adaptor Pattern)
Always use uavSensor to bind sensors to platforms. Do not feed sensor models manually.
% Create sensor model
gps = gpsSensor("SampleRate", 10, "ReferenceFrame", "NED");
% Bind to platform via uavSensor adaptor
gpsSensorObj = uavSensor("GPS", plat, gps, "UpdateRate", 10);For INS:
ins = insSensor;
insSensorObj = uavSensor("INS", plat, ins, "UpdateRate", 10);Sensor UpdateRate must divide evenly into the scenario UpdateRate. For example, a 10 Hz scenario supports sensor rates of 1, 2, 5, or 10 Hz — not 100 Hz.
Simulation Loop
setup(scene);
while advance(scene)
updateSensors(scene);
% Read sensor data (3 outputs: isUpdated, timestamp, readings)
[isUpdated, t, position, velocity, groundspeed, course] = read(gpsSensorObj);
if isUpdated
% position is 1x3 [lat lon alt] for gpsSensor
gpsLLA = position;
end
% Read platform state directly
[motion, lla] = read(plat);
% motion: 1x16 vector [pos(3) orient(4) vel(3) acc(3) angvel(3)]
% lla: [lat lon alt]
endread(sensor) returns variable number outputs:
isUpdated— logical, true when sensor has new data at this time stept— timestamp in secondssensorReadings1tosensorReadingsN— sensor-specific output (position, velocity, groundspeed, courseforgpsSensor)
read(plat) returns exactly 2 outputs:
motion— 16-element vector: position(1:3), orientation quaternion(4:7), velocity(8:10), acceleration(11:13), angular velocity(14:16)lla— 3-element vector: [latitude, longitude, altitude]
Visualize with show3D
setup(scene);
ax = show3D(scene);
while advance(scene)
updateSensors(scene);
show3D(scene, "FastUpdate", true, "Parent", ax);
drawnow limitrate
endUse "FastUpdate", true after the first call for efficient animation.
Trajectory Trail (Flight Path Line)
show3D only renders the UAV at its current position — it does NOT draw the flight path. To show the trajectory trail, create a line object once, then update its data each step:
setup(scene);
[ax, plottedFrames] = show3D(scene);
hold(ax, "on");
% Draw trajectory in the platform's reference frame
trajLine = plot3(plottedFrames.(plat.ReferenceFrame), NaN, NaN, NaN, "r-", "LineWidth", 1.5);
hold(ax, "off");
% acceptable for short loops; pre-allocate for long simulations
xHist = []; yHist = []; zHist = [];
while advance(scene)
show3D(scene, "FastUpdate", true, "Parent", ax);
[motion, ~] = read(plat);
xHist(end+1) = motion(1);
yHist(end+1) = motion(2);
zHist(end+1) = motion(3);
set(trajLine, "XData", xHist, "YData", yHist, "ZData", zHist);
drawnow limitrate
endDo NOT call plot3 inside the loop — it creates a new graphics object each step and kills performance.
Body-Frame Marker (Visibility in Large Scenes)
When scenes span 500m+, the platform mesh becomes invisible regardless of scale factor. Instead of inflating the scale (which distorts the mesh), parent a marker to the platform's body frame so it tracks at any zoom level:
setup(scene);
[ax, plottedFrames] = show3D(scene);
hold(ax, "on");
bodyFrame = plottedFrames.UAV1.BodyFrame;
plot3(ax, 0, 0, 0, "r^", "MarkerSize", 15, "MarkerFaceColor", "r", ...
"Parent", bodyFrame);
hold(ax, "off");
while advance(scene)
show3D(scene, "FastUpdate", true, "Parent", ax);
drawnow limitrate
endReplace UAV1 with the actual platform name. The marker moves with the UAV automatically via the parent transform.
Gotchas
| Mistake | Consequence | Fix |
|---|---|---|
addMesh(...,latLim,lonLim) without UseLatLon=true | 0 buildings imported, terrain at wrong location | Add UseLatLon=true when passing geographic coordinates |
updateMesh(plat,"multirotor",...) | Error — invalid mesh type | Use "quadrotor" |
updateMesh with [1 0 0 0] (identity quaternion) in NED scenario | Inverted or invisible mesh — body frame is z-down | Use [0 1 0 0] (180-degree roll) to flip mesh upright |
[pos, orient, vel] = read(plat) | Error — too many outputs | Use [motion, lla] = read(plat) (2 outputs) |
[isUpdated, data] = read(sensor) | Gets timestamp instead of readings | Use [isUpdated, t, sensorReadings] = read(sensor) (3 outputs) |
Feeding gpsSensor manually each step | Works but bypasses the scenario framework | Use uavSensor adaptor + updateSensors(scene) |
Missing color argument in addMesh | Error — not enough input arguments | Always provide RGB triplet as 4th argument |
waypointTrajectory in ENU with NED platform | Error — reference frame mismatch | Set "ReferenceFrame","NED" on trajectory |
Forgetting setup(scene) before loop | Sensors not initialized, no readings | Always call setup(scene) before advance |
Sensor UpdateRate > scenario UpdateRate | Error — rate must divide evenly | Sensor rate must be ≤ scenario rate and divide evenly into it |
Conventions
NED frame is the default for
uavPlatform. Match all trajectories and sensors to NED.ReferenceLocationmust be set at scenario creation — it is read-only after construction.UpdateRateon the scenario controls the simulation time step. SensorUpdateRatecan differ (sensors skip steps when not due).OSM files must be downloaded separately (e.g., via Overpass API or export from openstreetmap.org).
addMesh("buildings",...)expects a file path, not a URL.addCustomTerrainfor DTED files when GMTED2010 resolution is insufficient.
Copyright 2026 The MathWorks, Inc.
Files
- ATTRIBUTION.mdAdded by AutoGineer1.1 KiB
- LICENSELicence file added by AutoGineer1.4 KiB
- SKILL.md11.1 KiB
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LICENSE
Copyright 2026 The MathWorks, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. In all cases, the software is, and all modifications and derivatives of the software shall be, licensed to you solely for use in conjunction with MathWorks products and service offerings. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Attribution and licence
- Created by
- MathWorks
- Publisher
- MathWorks (Official)
- Source
- matlab/matlab-agentic-toolkit · skills-catalog/robotics-and-autonomous-systems/matlab-create-uav-scenario · commit 2a7f215
- Licence
- BSD 2-Clause License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE.md)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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