CORE  TECHNOLOGY

5A-Criterion of
Surveying and Mapping

In the geospatial industry, Any scene is scanned by Anyone in Any route with Any device at Any time, the UNIQUE point clouds should be acquired the oretically.

R8, R8+, D8, and T8 meet the strict 5A criteria for surveying and mapping. The repeatability accuracy of the point clouds in WGS84 or local coordinates is within 2 cm by repeatedly scanning.

RTK-SLAM

Coupled Complementary Filtering Algorithm

GPS/GLONASS/Galileo/BDS/QZSS

RTK-SLAM Acquires 3cm Point Clouds

PPK-SLAM
Coupled Complementary
Filtering Algorithm

In the case of weak RTK signal quality, Misleading GNSS Fix
may occur, which leads to the wrong point clouds.
OmniSLAM™ PPK-SLAM, an innovative type of Tightly Coupled Complementary Filtering Algorithm independently developed by OmniSLAM™, which is able to maintain accurate fixed solutions. Even in challenging environments, it can still acquire the WGS84 point clouds of 1:500 accuracy.

DLG(1:500) of Color Point Clouds

LIO-PANO
Colorization Technology

LIO-PANO Online colorization technology with multi-model fusion of lidar and panoramic camera, leads the accurate point cloud color, and so that the colored point clouds and laser backscatter Intensity can fuse accurately.

LiRF (Lidar Radiance Fields)

According to the LiRF, each scene, leads each point cloud, makes clean and clear, so that each measurement
and each inserting point will be definitely correct.

Accuracy Report

OmniSLAM™ Mapper generates an Accuracy Report, which provides the Mean Value of Absolute Deviation(MVAD) of point clouds for each scan and the 3D thermal map of point cloud accuracy.

GCP Inserting Instruction

The Mobile SLAM Color 3D Laser Scanner generates the GCP Inserting Instruction*. For the point clouds with unsatisfactory accuracy from a certain scan, the instruction will recommend the quantity and position of GCP.

Horizontal
Accuracy Error

The horizontal and vertical accuracy error of point
clouds in WGS84 is 0.005°.

Vertical
Accuracy Error

The horizontal and vertical accuracy error of point
clouds in WGS84 is 0.005°.

Light-Weighted
3D Mesh Models

Precision Level (mm) Color Point Clouds support the generation of 3D Mesh Models in OBJ/OSGB format. Owing to the OmniSLAM™ multi-model fusion Modeling Method of lidar and panoramic image, there's no need for heavy computing. A single computer, rather than a clumsy cluster, can efficiently build mesh models. Furthermore, the general data formats are compatible with the third party Model Refinement softwares.