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Data-fusion algorithm

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This cost-effective integrated navigation system fuses MEMS sensors with a GPS receiver for complementary performance. Its adaptive-gain Kalman filter delivers optimal attitude and bias estimation. The proprietary, industry-leading algorithm fully integrates inertial navigation, GNSS heading, and odometer data.
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INS570L
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  • System
    Roll/Pitch (1σ) 0.2°
    Yaw 0.2° (Dual Antenna / Baseline 1m)
    Position Error 0.3% (GNSS Outage 1km or 120s)
    Heading error 0.2° (60s)
    Heading Error 100Hz
  • Gyroscope
    Offset Over Temperature 0.08°/s
    Scale Factor Error 2‰
    Range (dps) 250
    Bias Instability 6°/h
  • Accelerometer
    Offset Over Temperature 3mg
    Scale Factor Error 3‰
    Range 4g
    Bias Instability 0.07mg
  • GNSS Receiver
    RTK Accuracy 0.8cm+1ppm
    Single Point Accuracy 1.5
    Update Frequency 10Hz
    Velocity Accuracy 0.03m/s
    Frequency Band BDS B1/B2, GPS L1/L2, GLONASS L1/L2 , Galileo E1/e5be, QZSS
  • Basic Infor
    IP Level IP52
    Dimensions (L*W*H) 117.3*100.5*30mm
    Operating Temperature -40℃ ~ 85℃
    Operating Voltage / Current 12V (DC 9~16V) ≤0.5A
    Interface RS422X1 (Data Port RS232X1 (Differential Port) CANX2
    Weight <310g
  • Functions
    Dual antenna
    Automotive-grade design
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Application
Smart agriculture
Smart Mining
Others
Robotaxi
Unmanned Vehicles