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.
LiGrip H300
System Parameters
Dimensions 195×125×350 mm Voltage 15.2 V
Battery Pack Dimension 134×64.6×167 mm Storage 512 GB
Handheld Weight 1.67 kg (Including GCP base and Camera) Battery Capacity 5870 mAh
IP Rating IP54 Single Battery Life 180 mins
Port USB, Ethernet Continuous Scanning
Duration Up to 55 mins
Suitable Environments Versatile for a wide range of indoor and
outdoor applications. Operating Temperature -20℃ ~40℃
Equipment Storage Temperature -40℃ ~70℃ Battery Storage Temperature Recommended storage temperature
22℃ ~30℃ [1]
LiDAR Sensor Parameters
Scan Rate 640,000 pts/s Detection Range Up to 300 meters
Range Accuracy 1 cm FOV 280°(Horizontal)×360°(Vertical)
Camera Parameters
Camera Type Insta One RS 1-inch Image Resolution 6528×3264
Data Format MP4 INSV Video Resolution 6144×3072
Dimensions 95×60×55 mm (including heat dissipation structure)
CMOS Size 1 inch
RTK Module [2]
Satellite System GPS+BDS+Glonass+Galileo+QZSS, supports 5 constellations and 16 frequencies
RTK Accuracy 1 cm+1 ppm RTK/PPK Protocol NTRIP
Dimensions 97×71×30 mm Weight 190 g
RTK Data Format .rtk GNSS Raw Data Format .log
Compatible with LiGrip H300, and LiGrip H120.
Mapping Method
Mapping Principles RTK-SLAM, PPK-SLAM, SLAM Real-time Processing Support
Data Results
Relative Accuracy ≤1 cm Absolutely Accuracy ≤5 cm[3]
Point Cloud Format LAZ (real-time processing), LiData (postprocessing)
[1] B58 battery storage temperature: Recommended storage temperature 22 ℃ ~30 ℃ ; 20 ℃ ~50 ℃ less than 1 month; -20 ℃ ~40 ℃ less than 3 months;
-20℃ ~20℃ less than 12 months;
[2] indicates that it needs to be purchased separately;
[3]The greater the number of feature points in the scanned scene, the better the feature quality, and the higher the point cloud accuracy. It is recommended to
follow the recommended operating methods to obtain high-precision point cloud results.
