Perform sensor modeling and simulation for accelerometers, magnetometers, gyroscopes, altimeters, GPS, IMU, and range sensors. Analyze sensor readings, sensor noise, environmental conditions and other configuration parameters. Generate trajectories to emulate these sensors traveling through a world and calibrate the performance of your sensors.
gnssSensor | Simulate GNSS to generate position and velocity readings |
altimeterSensor | Altimeter simulation model |
gpsSensor | GPS receiver simulation model |
imuSensor | IMU simulation model |
insSensor | Inertial navigation system and GNSS/GPS simulation model |
rangeSensor | Simulate range-bearing sensor readings |
wheelEncoderUnicycle | Simulate wheel encoder sensor readings for unicycle vehicle |
wheelEncoderBicycle | Simulate wheel encoder sensor readings for bicycle vehicle |
wheelEncoderDifferentialDrive | Simulate wheel encoder sensor readings for differential drive vehicle |
wheelEncoderAckermann | Simulate wheel encoder sensor readings for Ackermann vehicle |
kinematicTrajectory | Rate-driven trajectory generator |
timescope | Display time-domain signals |
waypointTrajectory | Waypoint trajectory generator |
nmeaParser | Parse data from standard NMEA sentences sent from GNSS receivers |
gpsdev | Connect to a GPS receiver connected to host computer |
Model combinations of inertial sensors and GPS
Inertial Sensor Noise Analysis Using Allan Variance
This example shows how to use the Allan variance to determine noise parameters of a MEMS gyroscope.
Explore the various error sources of wheel encoders and how they affect the wheel odometry estimate.
Remove Bias from Angular Velocity Measurement
This example shows how to remove gyroscope bias from an IMU using imufilter
.
Configure Time Scope MATLAB Object
Customize timescope
properties and use measurement tools.
Simulate Inertial Sensor Readings from a Driving Scenario
Generate synthetic sensor data from IMU, GPS, and wheel encoders using driving scenario generation tools from Automated Driving Toolbox™.