LiGrip H300 integrates multiple high-precision mapping methods, including SLAM, PPK-SLAM, and RTK-SLAM, allowing you to swiftly acquire point cloud data with absolute coordinates. Combined with LiDAR 360 and LiDAR 360MLS software, the LiGrip H300 can provide a one -stop solution on mapping, mining, forestry, road component survey and other scenarios.
Scan Rate 640,000 pts/s
Scan Range up to 300 m
Laser Accuracy up to ± 1cm
Multi-Platform Compatibility
300m ranging 640,000 pts/s
1-inch CMOS camera
Supports 6K images and high performs in indoor and low-light environments
Multiple Mapping Methods
SLAM
Point clouds with absolute coordinates can be obtained by bringing in GCP control points (if point clouds with absolute coordinates are not required, they can be directly collected).
RTK-SLAM
Suitable for areas with CORS signals, it allows you to directly obtain accurate point clouds with absolute coordinates.[In some regions, this feature is not available, please consult your local sales or partners for details]
PPK-SLAM
Point clouds with absolute coordinates can be obtained by bringing in GCP control points (if point clouds with absolute coordinates are not required, they can be directly collected).
Multi-platform
The H300 meets the needs of different data collection scenes by supporting handheld, backpack and vehicle-mounted and Airborne platforms. The operational efficiency is further enhanced.
Backpack
Vehicle Onboard
Airborne Mode
Processing Software
GreenValley APP
LiFuser-BP
LiDAR 360
LiDAR 360 MLS
Recommend Industry
ForestryLearn More
Power LineLearn More
TerrainLearn More
MiningLearn More
UtilitiesLearn More
HD MapsLearn More
Handheld, Mobile and UAV 3D Mapping Systems
GVI aims to provide versatile LiDAR hardware systems to accurately map any 3D environment. Through the use of SLAM (simultaneous location and mapping), our Handheld and Mobile systems can rapidly scan both indoor and outdoor environments without the need for GPS. This ability allows foresters, archaeologists, civil engineers, surveyors, and more to build robust datasets without prep or complex post-processing software.