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Software Status:Active

About VrLiDAR

VrLiDAR is a LiDAR processing software from Cardinal Systems [designed for analysis and visualization of LiDAR data]. It provides tools for point cloud editing, data classification, and 3D visualization so users can accurately interpret spatial information. The software supports high-resolution LiDAR datasets and offers integration with GIS platforms for comprehensive spatial analysis. With built-in automation features, VrLiDAR helps reduce manual processing time and increases data accuracy. Key capabilities: point cloud editing data classification 3D visualization GIS integration automation features Best for: geospatial professionals and researchers that need efficient analysis and visualization of LiDAR data.

VrLiDAR Details

Vendor
Cardinal Systems
Year Launched
Location
Ormond Beach, Florida
Deployment
Training Options
documentation, live online, in person
Countries Served
All Countries
Languages
English
Users
Mapping professionals, LiDAR analysts, photogrammetrists, surveyors, GIS specialists using Vr Mapping software.
Industries Served
Geospatial mapping, surveying, photogrammetry, civil engineering, remote sensing, infrastructure planning, transportation.
Tags
LiDAR Processing, Stereo Mapping, Vr Mapping, 3D Feature Extraction, Point Cloud Editing, LAS Support, Hybrid Photogrammetry, Geospatial Vector Mapping, Cursor Draping, Mobile LiDAR, Aerial LiDAR

VrLiDAR's In-App Market Place

Does VrLiDAR have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), CHF (CHF), HKD (HK$), SEK (kr)

Pros & Cons

  • Built for advanced mapping workflows—ideal for users already in the Vr Mapping environment.
  • Offers precise 3D stereo vector editing over LiDAR, rare in many point cloud platforms.
  • Supports both LiDAR and photogrammetric data in one integrated interface.
  • Strong tools for point classification visualization, cleanup, and surface following.
  • Efficient LAS file handling and attribute support for professional use cases.
  • Requires prior use of VrOne or VrTwo—limited value outside the Vr Mapping suite.
  • Older-style UI may feel less modern compared to newer point cloud platforms.
  • Not a full replacement for dedicated classification or machine learning-based LiDAR tools.
  • May require training for new users unfamiliar with stereo digitizing or Vr command structure.
  • Performance may vary with extremely dense or very large point clouds.

VrLiDAR's Support Options

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