Unreal Engine Adds Native LiDAR Point Cloud Support

January 2, 2021
|
Updated February 9, 2026
|

2 min read

LiDAR point cloud visualization of a cityscape with editing tools displayed in the corner.
Epic Games, maker of the Unreal Engine, have announced a major update to the gaming engine platform that not only benefit the gaming and design industry, but have features that have potential applications in AEC. The release of Unreal Engine 4.25 (UE 4.25) features a comprehensive suite of next-generation tools for game designers, but also includes native lidar point cloud support for the first time.

From an article in SPAR 3D by Carla Lauter.

Before this release, point clouds captured with laser scanning were imported and manipulated via a marketplace plugin. As of this release, the existing Lidar Point Clouds Plugin has been taken off their Marketplace, marking lidar support as a permanent addition to the engine’s native tools.

The update adds support for importing, visualizing, editing and interacting with point clouds acquired from laser scans, as well as support for working with multiple point cloud segments without decreases in performance.

UE 4.25 is available within the Unreal Editor, supporting the major point cloud formats (.txt, .xyz, .pts, and .las). Point clouds can be imported by the Editor by dropping a file into the content browser, or using the Blueprint API. From the Editor Viewport, individual points ca be hidden, deleted, merged or extracted.

Updates to the rendering capabilities include support for “very large” data sets with on-demand streaming of data from files and GPU. This capability, in particular, may help accelerate AEC applications when creating digital twins, for example.

More point cloud rendering updates include:

  • Point clouds can cast and receive dynamic shadows — useful for sun and lighting studies.

  • Supports very large data sets, with on-demand streaming of data from files and GPU streaming. A dynamic Level of Detail system keeps performance high, while preserving visual results by prioritizing points in the center of the viewport.

  • Render data using simple points or custom Materials.

  • Multiple coloration techniques (RGB, Intensity, Elevation, Classification, and so on).

  • Extensive color adjustments.

  • Accentuate shapes with an Eye-Dome Lighting technique provided by the included post-process Material.


For the complete article CLICK HERE.

Get Lidar News in Your Inbox

Weekly updates on lidar tech, geospatial industry news, case studies, and product reviews.

About The Author

Gene Roe - founder of Lidar News

Alluxa optical coatings
SAM Managed geospatial services

Recent Point Cloud Processing Posts

Point Cloud to TIN: Mach9 Adds Surface Workflows

Point cloud to TIN workflows are essential for transforming lidar data into terrain models used…

August 5, 2026

Reality Capture Workflows Reimagined with Mach9

Reality capture workflows have changed dramatically over the past decade. More than a decade ago,…

July 27, 2026

Digital Surveyor 2 Release and Webinar – Mach9

Over the past decade, the industry has solved one major challenge: capturing more data, faster.…

March 19, 2026

Optimize Your Digital Workflow: Free Demo with Cintoo

Optimize Your Digital Workflow: Free Demo with Cintoo In this upcoming demo, Cintoo will show…

January 28, 2026

AI Hardware Revolutionizing Reality Capture Processes

AI is transforming reality capture almost as quickly as it processes data. Today, more accurate…

December 11, 2025

Mining Stockpile Measurement Software: Stitch3D Wins $100K

Stitch3D has won $100K for its innovative mining stockpile measurement software, designed to simplify stockpile…

November 20, 2025

Popular Posts

Get Lidar News in Your Inbox

Weekly updates on lidar tech, geospatial industry news, case studies, and product reviews.

Mach9 Digital Surveyor 2