Xsens Vision Navigator

Outstanding positioning information, even in GNSS-deprived areas.

Accurate localization, anywhere

Accurate localization, anywhere

When it comes to outdoor (and indoor) autonomous vehicles, it’s essential to know precisely where the vehicle is located at all times – even in challenging or GNSS-denied environments. For these applications, Movella have introduced the Xsens Vision Navigator.

Visual-inertial odometry

Visual-inertial odometry

Using dual RTK GNSS, an internal IMU and a camera, and visual-inertial odometry technology, the Xsens Vision Navigator provides accurate real-time navigation data, whether you’re in a forest, an urban environment, a warehouse, a tunnel or even underground.

Position drift over distance

Position drift over distance

With the Vision Navigator, position drift is distance-dependent as opposed to time-dependent – as commonly found in more traditional GNSS/INS devices. Because of this, the Vision Navigator is able to cope with continuous GNSS disturbances or long-lasting GNSS outages.

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Phone

03 9687 8638

Address

7A Kent Street,
Yarraville, VIC 3013
Australia.

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Specifications

Sensor fusion performance

Roll, pitch<0.4 deg
Yaw/heading0.4 deg (1 m antenna baseline)
Position with RTK1 cm + 1 ppm
Position during GNSS outage0.75% of distance travelled
Velocity0.1 m/s

Sensing components

Gyroscope
Standard full range2000 deg/s
Noise density0.003 deg/s/√Hz
Accelerometer
Standard full range16 g
Noise density65 µg/√Hz
MagnetometerOnboard
BarometerOnboard
GNSS receiver
Brandu-blox
ModelZED-F9P (2x, internal)
RTK correction inputRTCM 3.3
RTCM input portEthernet, Wi-Fi or serial

System specifications

Mechanical
IP-rating (equivalent)IP67
Dimensions129 × 113.6 × 30 mm
Weight420 g
Electrical
Input voltage4.5 to 36 V
Power consumption (typ.)7.5 W
Interfaces / IO
InterfacesUART, Ethernet, Wi-Fi, USB-C
ProtocolsASCII, NMEA and ROS
Output frequencyUp to 200 Hz

Datasheet

Demonstration

Join us on a journey with Vision Navigator.

Xsens Products

Xsens Vision Navigator

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