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What is VrLiDAR?

The goal remains consistent: to extract valuable insights from images and point cloud data sources such as LiDAR and Digital Surface Models (DSM), converting them into vectors and attributes usable in various industries. VrThree (VrLiDAR) enables photogrammetry firms to maximize the potential of their existing teams and software while also providing cutting-edge and effective solutions for diverse mapping disciplines, including architecture, engineering, and surveying. This software effortlessly integrates point cloud information into the established Vr Mapping Software suites, VrOne® and VrTwo, making it easier to visualize and edit LiDAR point data in both 2D and realistic three-dimensional stereo formats. The four configurations available in VrThree support the collection and modification of vector, symbol, and text entities using the extensive tools offered by VrOne® and VrTwo. In today's landscape, mapping professionals are tasked with acquiring three-dimensional vector data not only through traditional photogrammetric techniques but also through sophisticated technologies like LiDAR, thereby broadening their skill set. As mapping technology progresses, it continuously prompts experts to adapt and refine their abilities to fulfill the evolving requirements of contemporary projects, ensuring they remain competitive in a rapidly changing environment.

What is Point Cloud Automata?

PCA was initially created to efficiently process Geosun point cloud data. One of the standout features of PCA is its capability to automate several tasks such as filtering, classification, and tree segmentation, which significantly reduces the necessity for user involvement or manual handling. The PCA framework consists of two primary elements: the PCA Toolbox, which is dedicated to automated data processing, and the PCA Viewer, which focuses on data visualization. It is adept at managing extremely dense datasets while maintaining accurate geolocation, enabling it to effectively penetrate through vegetation layers, combine RGB images with point cloud data, and perform strip adjustments. Moreover, the system is engineered to identify and eliminate outliers, which aids in the precise segmentation and extraction of information pertaining to individual trees, thus establishing itself as a comprehensive solution for analyzing intricate datasets. Additionally, PCA's ability to streamline complex processes not only enhances efficiency but also ensures that users can easily navigate through large volumes of data. Consequently, PCA serves as a vital tool in advancing data handling methodologies in various applications.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$2500.00/one-time/user
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cardinal Systems

Company Website

www.cardinalsystems1.net/vrlidar

Company Facts

Organization Name

Geosun Navigation

Date Founded

2015

Company Location

China

Company Website

www.geosunlidar.com/sale-39101309-point-cloud-automata-pca-post-processing-software.html

Categories and Features

CAD

2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles

Categories and Features

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