New Viametris backpack scanner integrates SBG Systems product

Viametris, specialist of SLAM-based mobile scanning systems, has launched a backpack-based scanning system called the bMS3D-360. The company continues to rely on SBG Systems’ expertise in inertial navigation by integrating the Ellipse2-D, an inertial navigation system with embedded real-time kinematic (RTK) GNSS receiver.

Photo: Viametris

Viametris has been developing SLAM-based scanning systems for more than 10 years, including the iMS3D, a full indoor mapping system and the VMS3D, a car-based mapping system.

The bMS3D-360 has been designed for the most challenging environments where GNSS is not accessible (indoor) or highly perturbed (urban canyons, forest, etc.). The surveyor starts the system, checks on a tablet that the GNSS and inertial information are computed, and starts the survey.

Back at the office, the user launches the INS/GNSS post-processing software to increase orientation and position accuracy, and then uses the Viametris software to georeference and colorize the point cloud.

Collected data are ready to be imported into common design software. This workflow (from collection to plan drawing) is seven times faster than a traditional method.

The bMS3D-360 offers a 360-degree camera, which greatly simplifies the treatment work. When navigating in the point cloud, the user opens a unique picture of the 360-degree scanned environment instead of looking at four different camera points of view.

Photo: SBG Systems

The Ellipse2-D from SBG Systems is a compact inertial navigation system integrating an L1/L2 GNSS receiver. This industrial-grade INS computes roll, pitch and heading as well as position because of its embedded Extended Kalman Filtering.

In real time, Ellipse2-D orientation data are used to correct the equipment attitude and help the SLAM computed heading. The embedded GNSS receiver provides absolute positioning to the point cloud as well as altitude constraint.

When the GNSS faces sources of disturbance, the INS maintains the trajectory were the SLAM technology is limited.