LiDAR & SLAM

Portable mapping depends on both distance measurement and continuous localization.

LiDAR measures surrounding geometry while SLAM estimates device movement and builds a coherent map. Field of view, reflectivity, motion, environment, and capture technique all influence results.

LiDAR measurement

Laser returns create distance samples that become a spatial point cloud.

SLAM positioning

The system estimates movement while mapping the environment.

Field preview

Supported handheld workflows provide real-time point-cloud preview.

Environmental factors

Reflective, dark, repetitive, moving, or obstructed environments require careful capture planning.

Evaluation principles

Keep conditions attached

Range and performance values depend on their stated conditions.

Separate specifications and outcomes

A point rate, accuracy value, or sensor type does not guarantee a project result.

Validate the full workflow

Confirm capture, processing, formats, software, and integration.

Document limitations

Use neutral language where configuration or performance is not yet verified.

Evaluate the technology through a real capture workflow.