
MVP 100
UAV-mounted LiDAR for corridor mapping and topographic projects.
Base-Station-Free Mobile Mapping System
- 3–5 cm Accuracy
- Survey-grade precision with PPK
- All-in-One Payload
- LiDAR, camera, GNSS, IMU integrated
- Triple Returns&300 m Range
- Reliable ground extraction on Plus
- Powered by TAP (PPP)
- Base-Station-Free Workflow
Survey-Grade Accuracy
Typical absolute point cloud accuracy of 3–5 cm with PPK, with LiDAR measurement accuracy of 10 mm and precision of 5 mm, delivering reliable survey-grade results.

Exceptional Penetration
With triple returns and a detection range of up to 300 m on MVP100 Plus, the system reliably extracts ground points beneath dense vegetation and complex terrain.

Lightweight & All-in-One

Efficient Workflow
One-click processing in Tersus MVP Engine streamlines trajectory calculation, georeferencing, and point cloud optimization. TAP enables base-station-free mapping for faster, more flexible deployment.

Applications

Terrain Surveying
Efficiently acquire dense point clouds for detecting downed power lines, hazardous trees, and other potential hazards.

Road Construction
Extremely precise 3D LiDAR data for purposes like analysis of road infrastructure, locating light poles and traffic signs, new planning and asset management.

Building Management
In building construction and infrastructure, MVP offers detailed and accurate point cloud data for smart cities, street mapping, and BIM.

Forestry Analysis
Provide detailed information on forest structures, including tree height, diameter, volume, leaf area index, etc. Also efficiently obtain under-tree ground surface information for digital models.

Power Line Inspection
Efficiently acquire dense point clouds for detecting downed power lines, hazardous trees, and other potential hazards.
Technical Specifications
Documents
Firmware, software installers and configuration tools for this product are in the MyTersus portal. Open product downloads
Ready to deploy MVP 100?
Talk to our team about pricing, integration, and support options.







