Drone RTK
Fast, accurate, drone-based scans without GCPs
Emesent Aura now supports RTK, automating high accuracy georeferencing and drift correction for Hovermap scans on DJI’s M300 and M350 drones. This enables the delivery of fast, accurate and precise above-ground drone scans on demand, without the need to lay out and georeference ground control points.
Simply attach the Hovermap to your DJI M300 or M350 drone with the purpose-built mount, establish a connection and you are ready to start scanning. During processing Aura automatically evaluates the GPS signal quality and will intelligently choose the optimal combination of RTK and SLAM (either RTK and SLAM, or SLAM only if RTK is not of high enough quality), toggling between the two, to provide the user with the most reliable and robust point cloud.
“We have done flights at 100m with 40% overlap, captured at 6m/s and generated data with check points around the +-20mm range. We sit back and are astonished by the data.”
– David Wallingford, Talison Lithium
Benefit from:
-
Optimized results
Intelligently leverage both RTK and SLAM to ensure the most reliable, robust point cloud.
-
Enhanced SLAM capabilities
Scan long linear assets or large areas.
-
On-demand scanning
Start scanning quicker and finish scanning sooner by eliminating the need to lay out ground control targets.
-
Consistent accuracy
Higher quality results for repeat scans and change detection.
-
Simplified, fast-tracked workflow
Automated georeferencing and drift correction.
-
Improved safety
Avoid high risk areas or the need to negotiate challenging terrain to establish targets.
Where to use Drone RTK
Compatible with:
Also available:
Emesent Products
Photo: Varius pharetra congue pharetra lacus. Mus lectus sed at lectus pharetra. Adipiscing nisi nullam sed.
Photo: Varius pharetra congue pharetra lacus. Mus lectus sed at lectus pharetra. Adipiscing nisi nullam sed.
Case study
Drone RTK: Improved SLAM accuracy & georeferencing report
Utilizing RTK capability can improve SLAM performance in low-feature areas and/or long-duration scans as well as georeferencing the point cloud.
It also can enable Hovermap to produce high-quality point clouds when traveling at higher velocities and altitudes and mitigate the trade-off between low resolution and SLAM accuracy.
Further reading
-
M350 drone RTK sample dataset
-
How does Real-time Kinematics (RTK) work?
-
Autonomously Mapping a Complete Bridge As-Built