matlab-create-uav-scenario

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Create and simulate UAV scenarios with terrain, buildings, platforms, and sensors using uavScenario. Use when building a UAV simulation, UAV simulator, or UAV scenario in MATLAB. Covers addMesh for terrain/building import, uavPlatform with updateMesh, uavSensor adaptor pattern for GPS/IMU, and the setup/advance simulation loop. Triggers on: uavScenario, UAV simulation, UAV simulator, multirotor simulation, quadrotor scenario, terrain import, building import, GPS sensor simulation.

matlab By matlab schedule Updated 6/4/2026

name: matlab-create-uav-scenario description: > Create and simulate UAV scenarios with terrain, buildings, platforms, and sensors using uavScenario. Use when building a UAV simulation, UAV simulator, or UAV scenario in MATLAB. Covers addMesh for terrain/building import, uavPlatform with updateMesh, uavSensor adaptor pattern for GPS/IMU, and the setup/advance simulation loop. Triggers on: uavScenario, UAV simulation, UAV simulator, multirotor simulation, quadrotor scenario, terrain import, building import, GPS sensor simulation. license: MathWorks BSD-3-Clause metadata: author: MathWorks version: "1.0"

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

  1. Create scenariouavScenario with ReferenceLocation and UpdateRate
  2. Add terrainaddMesh(scene,"terrain",...) with GMTED2010 or custom DTED
  3. Add buildingsaddMesh(scene,"buildings",...) from OSM file
  4. Add platformuavPlatform with trajectory, then updateMesh
  5. Attach sensorsuavSensor adaptor binding sensor to platform
  6. Run simulationsetupadvanceupdateSensorsread loop
  7. Visualizeshow3D with FastUpdate for 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 default
  • orientation — 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]
end

read(sensor) returns variable number outputs:

  • isUpdated — logical, true when sensor has new data at this time step
  • t — timestamp in seconds
  • sensorReadings1 to sensorReadingsN — sensor-specific output (position, velocity, groundspeed, course for gpsSensor)

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
end

Use "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
end

Do 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
end

Replace 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.
  • ReferenceLocation must be set at scenario creation — it is read-only after construction.
  • UpdateRate on the scenario controls the simulation time step. Sensor UpdateRate can 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.
  • addCustomTerrain for DTED files when GMTED2010 resolution is insufficient.

Copyright 2026 The MathWorks, Inc.

Install via CLI
npx skills add https://github.com/matlab/matlab-agentic-toolkit --skill matlab-create-uav-scenario
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