No more position offsets, get supreme accuracy from the get-go!
Only LiDAR QC Tools...
Applanix LiDAR QC Tools are a set of POSPac software tools developed by Trimble to achieve the highest level of georeferencing accuracy using LiDAR sensors. Applanix LiDAR QC Tools supports boresight calibration between IMU and LiDAR sensors, trajectory correction and LAS file point cloud generation.
|Trajectory Adjustment: Perfect your LiDAR data with trajectory corrections for superior georeferencing results|
|Unrivaled Accuracy: Precision boresight calibration ensures your data is spot-on, every time|
|Seamless Integration: Works with any LiDAR system with simple automatic processing as part of POSPac desktop, batch or Cloud|
|Flexible Licensing: Available as a term license or Cloud API|
How it Works
Boresight calibration is an important part of LiDAR integration because any uncorrected misalignment between the IMU and LiDAR frame will result in a less accurate point cloud.
Applanix LiDAR QC Tools precisely estimates the boresight misalignment angles between an Applanix IMU and a synchronized LiDAR scanner. No ground reference is required.
Trajectory Adjustment is the correction of the GNSS-INS derived position and orientation based upon mismatches of overlapping LiDAR points. The LiDAR sensor itself becomes an aiding sensor to the GNSS-INS solution. The adjusted trajectory is used to produce the final LiDAR point cloud and to georeference any other imaging sensors (such as cameras). It is extremely powerful in GNSS-denied areas (e.g. urban or foliage area) and when using inertial sensors of lower accuracy.
Applanix POSPac Mobile Mapping Suite, now with IN-Fusion , PP-RTX 2 and tuned LiDAR QC Tools, is our next generation, industry-leading software for Direct Georeferencing of mobile mapping sensors using GNSS and inertial technology. It is optimized for all environments and platforms (air, land, marine) and compatible with a variety of mapping sensors. This smart software solution achieves both maximum accuracy and maximum efficiency for Direct Georeferencing.