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What is VeloView?

VeloView is an adaptable open-source platform designed specifically for the real-time visualization and analysis of 3D LiDAR data collected from a range of Velodyne HDL sensor models, including but not limited to the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This software allows users to visualize live data streams or access previously recorded data stored in .pcap files, in addition to providing the capability to record live streams for later review. Equipped with tools for displaying, selecting, and measuring data from captured points, VeloView supports customizable color maps based on various criteria such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Additionally, users can export data in CSV format as XYZ coordinates or take screenshots of the point cloud visualizations for their records. Recent updates have introduced features like support for Velarray sensors, the ability to run multiple sensors at once, and independent transformation of live data for each sensor, significantly broadening its functionality and range of application. The combination of these capabilities makes VeloView an exceptional resource for professionals engaged in 3D LiDAR technology, ultimately enhancing their analytical and visualization tasks. As such, it is increasingly recognized as an essential tool in the toolkit of those who work with cutting-edge LiDAR systems.

What is CloudCompare?

CloudCompare is an open-source software that offers free access for users to process 3D point clouds and triangular meshes. Originally developed to enable the comparison of dense 3D point clouds, it has evolved into a comprehensive tool suitable for various 3D data processing tasks. The software includes an array of features, such as projection techniques, registration methods like Iterative Closest Point (ICP), and the ability to calculate distances between clouds and meshes, alongside options for statistical analysis, segmentation, and assessing geometric properties. Users can manage numerous scalar fields linked to each point cloud, apply algorithms for smoothing and gradient assessment, and visualize their data through dynamic color rendering capabilities. The interactive tools available in CloudCompare facilitate the segmentation, rotation, translation, and measurement of 3D objects with ease. Furthermore, it supports a diverse range of input and output formats and is compatible with Windows, macOS, and Linux operating systems. The software also boasts a robust plugin system, allowing users to further expand its capabilities, making it an exceptionally flexible tool for 3D data analysis and visualization. As the community continues to grow, users enjoy the benefits of ongoing updates, along with a rich pool of shared resources that enhance their experience. This collaborative environment fosters innovation and improvement among users, ensuring that CloudCompare remains at the forefront of 3D processing technologies.

Media

Media

Integrations Supported

Google Sheets
Kitware Glance
Microsoft Excel

Integrations Supported

Google Sheets
Kitware Glance
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

Kitware

Date Founded

1998

Company Location

United States

Company Website

www.paraview.org/veloview/

Company Facts

Organization Name

CloudCompare

Company Location

United States

Company Website

www.danielgm.net/cc/

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