Accessories Backpack RTK Product Launch
Emesent’s Backpack RTK automates high-accuracy georeferencing and drift-correction for backpack-based scans, to deliver fast, accurate and precise scans while reducing or eliminating the need to lay out and georeference ground control points. Intelligently leveraging both RTK and SLAM to optimize results, Backpack RTK ensures the most reliable, robust point cloud. Combine with the 360 colorization kit for Hovermap to add a new level of reality and extract 360 degree images for additional context.
When the highest accuracy is not required, Backpack RTK also allows georeferencing in GPS-denied environments. Start a scan outdoors using RTK and then seamlessly transition to SLAM capture indoors during the same scan, without requiring indoor set up of control points. Also beneficial in forestry applications, construction progress tracking, and any project where small areas of the site have limited or no GPS.
RTK can also be used when deploying Hovermap by drone or vehicle.
Key benefits
Automated georeferencing
as you scan and correction at the click of a button in Aura post-processing eliminates
labor-intensive and time-consuming processes.
The Most Reliable and Robust Point Cloud
that reduces drift by seamlessly leveraging the optimal combination
between RTK and SLAM.”
A More Accurate Solution
that excels in environments traditionally more challenging for SLAM, such as large areas
with limited features or long, linear assets.
Outdoor to Indoor Scanning
Georeference indoors by beginning and ending a scan with RTK outdoors when lower
accuracy is required.
Lightweight, Intuitive Setup
be up and scanning in minutes.
Ease of Transportation
all equipment fits inside the sturdy, ergonomically designed backpack including the GNSS
receiver, for ease of transportation.
Where to use it?
Above ground:
- 3D modeling for as-builts or Scan to BIM
- Small area topographic survey
- Forestry plantation mapping
- Tunnels, sewers and culverts
- 3D scanning of areas which are difficult to access via drone or vehicle
Projects where:
- Good quality georeferencing is needed
- SLAM solutions traditionally perform poorly:
- Long, linear, repetitive environments
- Large areas with limited features
- Near large bodies of water
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