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Vision-Inertial Navigation Integrated Module

The Visual-Inertial Integrated Navigation Module integrates multiple sensors, including a visual navigation unit, inertial navigation unit (IMU), satellite receiver, altimeter, and magnetometer. It supports a combination of multiple navigation methods to output the aerial vehicles' position, attitude, velocity, and altitude data,effectively meeting the navigation and positioning needs of aerial vehicles in satellite-denied environments. The module captures images via a downward-facing camera and performs real-time comparison and calculation against pre-stored map data in the module to output the vehicle’s position information. This position data is then fused with data from other on-board sensors to generate comprehensive information on the vehicle’s velocity, position, and attitude. Featuring a miniaturized board design, the product is widely applicable to various aerial vehicle systems such as UAVs and loitering munitions.

Reliable in Urban Canyons & Indoors

Resistant to Spoofing & Jamming

Seamless Transition Between Sensors

Long-Endurance Mapping Capability

 

OPERATIONAL HIGHLIGHTS

 

FeatureSkypath Vision-InertialTraditional SystemsImprovement
Navigation Reliability99.9%(Interference-Resilient)55%(Signal-Dependent)44.90%
Position Accuracy15m(10-20m or 5% altitude)50m3.3x Better
Attitude Accuracy0.5°3.0°6x Higher Precision
Velocity Accuracy2m/s8m/s4x Higher Accuracy
GPS-Denied Operation Time30 mins(30 minutes) Continuous GuidanceImmediate FailureCritical Breakthrough

 

1 – Positioning capability in satellite-denied conditions;

2 – Integrated navigation function: fuses visual positioning data with IMU data to output the vehicle’s attitude, position, and velocity information;

3 – Integrates a high-precision MEMS inertial navigation unit; also supports connection to external high-precision inertial navigation data for integrated navigation;

4 – Integrates a satellite receiver,Which automatically switches between visual positioning and satellite positioning

based on the strength of received satellite signals;

5 – Anti-satellite spoofing capability;

6 – Integrates a barometric altimeter to provide the vehicle’s altitude information;

7 – Integrates a large-capacity memory to store map data for large flight areas;

8 – Supports external magnetometer connection to provide the vehicle’s heading information;

9 – Geofencing capability;

10 – Customizable automatic ground target recognition and positioning function;

11 – Customizable auxiliary aircraft landing function.

ParameterSpecification
Visible Light Camera
Resolution1600×1200
Response Band0.4μm–0.9μm
Pixel Size2.9μm
Focal Length2.7mm
Field of View (FOV)66°× 52°
Infrared Camera
Working Band8μm–14μm
Detector Resolution640×512
Pixel Size12μm
Focal Length4.7mm
Field of View (FOV)79°×67°
Performance Specifications
Flying Altitude80m–3000m (lens replacement required beyond 3000m)
Positioning Accuracy10m–20m (1σ) at 100m–300m altitude
5% of relative altitude (1σ) at 300m–3000m altitude
Velocity Accuracy2m/s
Attitude Accuracy0.5°
Altitude Accuracy1m
Output Frequency1–10Hz
Onboard Storage Capacity64G: 22,500 km²
128G: 45,000 km²
256G: 90,000 km²
Onboard SensorsMEMS IMU, barometric altimeter (optional), satellite receiver (optional)
Shock Resistance>500g
Power Supply+12V–+30V, <20W
Operating Temperature–40℃ to +60℃
Communication InterfacesRS232/RS422/UART, Ethernet
Weight (Modules)Separated integrated navigation module: 130g
Integrated navigation module: 150g
Single visiblelight camera module: 30g
Duallight camera module: 110g

Why You Need Unjammable Navigation

“In urban canyons, electromagnetic interference zones, or GPS-denied environments, traditional drone navigation systems fail – causing 78% of commercial drone missions to fail (Drone Industry Insights, 2023).”

Skypath Vision-Inertial Navigation Module delivers 99.9% navigation reliability and ±15m positioning accuracy,turning “potential success” into “guaranteed success.”

Application Scenarios

UAV Navigation

Urban Mapping

Industrial Inspection

Autonomous Systems

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