SBG Systems announced the third generation of its line of miniature inertial sensors called the Ellipse Series. This renewed product line benefits from a 64-bit architecture allowing high-precision signal processing. All the INS/GNSS now embed a dual-frequency, quad constellations GNSS receiver for centimetric position and higher orientation accuracy.

The line is composed of four models:

  • Ellipse-A is a motion sensor
  • Ellipse-E provides navigation with an external GNSS receiver
  • Ellipse-N is a single antenna RTK GNSS/INS
  • Ellipse-D is a dual-antenna RTK GNSS/INS.

With its new 64-bit architecture, the new series enables the use of high-precision algorithms and technology used in high-end inertial systems such as rejection filters, FIR filtering, and more. The company says all Ellipse miniature INS are now RTK-enabled without extra cost and output raw data for post-processing.

With its dual frequency RTK GNSS receiver, the Ellipse-D provides a centimetric position, plus the company says that this provides a more robust heading and position computation than single-frequency receivers. With its dual-antenna capability, it reportedly provides precise heading in a few seconds, in all dynamic conditions, and even in challenging GNSS conditions. It is also immune to magnetic disturbances. It is also quad-constellation, meaning it could use simultaneously satellites from GPS, GLONASS, BEIDOU, and GALILEO for more signal availability in challenging navigation conditions.

The company states that Ellipse INS is a cost-effective navigation solution providing centimeter-level accuracy in real-time. The inertial navigation system could be enhanced with the real-time fusion of inertial and odometer data whether the odometer is a pulse, or an ODB-II one. With CAN protocol, specific automotive motion profile, and dedicated outputs such as slip angle and curvature radius, the new series is especially designed for the automotive industry. The Qinertia software additionally provides tools to compute accurate lever arms and alignment to get the best performance out of the sensors. Inertial, GNSS, and odometer data can be improved with Qinertia post processing for higher accuracy data used for HD mapping, for example.

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