

The Challenge
High-end inertial navigation systems provide control-grade accuracy, but the financial model makes large-scale commercialization unfeasible. At the other end of the spectrum, basic telematics are affordable but lack the accuracy needed for ADAS, robotics, or off-road control applications.

The Solution
Unlike other high-end inertial systems, DRIVE does not require radar or other perception sensors — making it simpler and more cost-appropriate for applications that demand high accuracy without added hardware. DRIVE is hardware independent and sensor agnostic providing ultimate portability and adaptability.
DRIVE enables our customers to bring cost-sensitive autonomy and ADAS features to market.

Key Benefits
Accurate in GNSS-degraded and denied areas
Maintains position, velocity, and orientation in tunnels, bridges, or urban canyons
Economical
Provides control-grade accuracy without the high per-unit cost of advanced INS
Doesn’t require perception sensors
Works with GNSS + inertial sensors only; for radar/camera integration, see AUTO
Supports control systems
Ego-velocity estimation and lever arm correction
Safety and reliability
Integrity monitoring and hot start recovery
Faster integration
Broad GNSS/IMU support, flexible calibration, built-in diagnostics, and RTK compatibility
Applications

ADAS / driver-assist platforms:
Reliable through tunnels, bridges, and dense urban canyons
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Off-road environments:
Agricultural, construction, and utility machines operating in fields, yards, or plants without full GPS coverage

Logistics and robotics:
Delivery robots and carts maintaining lane- and sidewalk-level positioning accuracy

Embedded software
Cloud service
Hardware module
Product Comparison

Accuracy
Cost
Real-Time Response
Best Fit

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Entry-level
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Lowest
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1 sec or slower
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Telematics, In-vehicle infotainment, Fleet management, Dash cams

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Mid-range
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Moderate
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0.01 sec
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Control grade applications: On-road vehicles, ADAS, Logistics, Off-road vehicles.

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Highest
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Higher
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0.01 sec
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Safety-critical applications, ADAS & Semi and Fully Autonomous vehicles. (additional sensor inputs: imaging radar + sensor fusion)

