Cesium for Omniverse v0.29.0

Cesium for Unity Samples v1.26.0

CesiumJS 1.146

3D Tiles

In mid-September we announced our second major technology preview focused on design model workflows in Cesium, including the ability to report on the differences between versions of BIM/CAD design models using the Cesium ion API. Cesium ion now also manages source files separately from tiled data.  

Our October runtime releases deliver many improvements and fixes, including enhancements for working with the new 3D Tiles 2.0 vector tiles data format in CesiumJS and the ability to use Blueprints to drive styling in Cesium for Unreal.  

We will also be hosting two webinars this month: on October 13 we'll be digging into our new vector tiles support, and on October 21 we’ll host our quarterly training and technical exchange for US government employees. We look forward to seeing you there! 

We made improvements across Cesium this month. To get notifications about our monthly releases, you can subscribe to the Cesium release roundup thread on our community forum.

CesiumJS 1.146 is now available. This month's release focuses on improvements to vector tile rendering and extracts CesiumJS's fundamental math, geometry, and time primitives into a separate packages/core workspace to create a lightweight, dependency-isolated package that can be used independently by external consumers, advancing the long-term CesiumJS goal of publishing smaller, more modular packages.  

By isolating core functionality with no external dependencies, the new package gives consumers the option to adopt only the core mathematical utilities they need without the overhead of the entire engine, establishing a pattern for splitting out domain-specific code like glTF loading from @cesium/engine for easier updates and testing. 

CesiumJS now publishes a new package, @cesium/core, containing the math, geometry, time, and utility classes that were previously part of @cesium/engine. #13805 

Fixed draped polylines rendering at the wrong width at large widths, in both pixels and meters width units. #13737 

Added vectorBlendOption to Cesium3DTileset, for selecting opaque or translucent modes. blendOption can now also be changed after construction on BufferPointCollection, BufferPolylineCollection, and BufferPolygonCollection. This corrects an issue where rendering vector datasets resulted in incorrect blending. #13764 

Reduced load time and memory usage for implicitly tiled tilesets. The app now loads 23× faster and uses 13× less memory on a benchmark large building dataset. #13808 

Improved support in CesiumJS for rendering wide vector lines, in both "pixels" and "meters" width units. Data from HydroSHEDS version 1 database from © World Wildlife Fund, Inc. and Cesium World Terrain.

Cesium for Unreal v2.30.0 is now available. Highlights of this release include: 

Added support for styling features in ACesium3DTileset with Blueprints, using a specified BlueprintStyleClass that implements ICesium3DTilesStylingProvider on UCesiumFeaturesMetadataComponent. 

Added support for per-element styling on CesiumVectorTilesRasterOverlay, using either a specified Blueprint class implementing ICesiumVectorTilesStylingCallbacks or a C++ class derived from CesiumVectorOverlays::VectorStylingProvider. 

Fixed a bug that made FCesiumCamera use incorrect parameters when its source was set to ECameraParameterSource::CameraComponent. 

In addition to the above, this release updates cesium-native from v0.64.0 to v0.65.0. See the changelog for a complete list of changes in cesium-native. 

Check the Cesium for Unreal release and the Cesium for Unreal Samples release for the full list of updates.

Download the Cesium for Unreal plugin from Epic Marketplace

Difficulty of ski runs at Mount Snow, Vermont, USA, visualized in Cesium for Unreal using the CesiumVectorTilesRasterOverlay’s new styling capabilities. Data © OpenStreetMap contributors and OpenSkiMap.org.

Cesium for Unity v1.26.0 is now available. Highlights of this release include: 

Added CesiumVectorPointStyle and a pointStyle field on CesiumVectorStyle, enabling CesiumGeoJsonDocumentRasterOverlay to render GeoJSON Point and MultiPoint features. 

Added support for loading CesiumCartographicPolygons from polygons in GeoJSON files. 

Check the Cesium for Unity changelog for the full list of updates, and follow our Cesium for Unity tutorials to get started. 

**Cesium ion SaaS** 

- Added the ability to create versions of BIM/CAD Database assets: Cesium ion now supports the re-upload of source files to update a BIM/CAD Database tileset which creates multiple versions of meshes from the database. 
- Improved file management: Cesium ion source files and tiled assets are now stored separately in Cesium ion, giving you more control over your storage quota and laying the foundation for new ion workflows. Read more and let us know what you think on [the community forum](https://community.cesium.com/t/improved-file-management-in-cesium-ion/47161). 
- Increase storage quotas: Your storage quota has been doubled! Look for an email from us with details. 
- Added a new API endpoint to search for valid CRS codes using geocode-scoped tokens. This enables developers to programmatically discover and validate CRS values when ingesting design models via the API. 
- Added new change detection API routes for mesh assets created from the same BIM/CAD Database asset. 

**Buildings tiler**

- Added limited support for CityGML 3.0 generic attributes and boundary surfaces. 

Space missions are complex to plan, execute, and communicate to audiences with varying knowledge and interests. To retain engineering accuracy while bringing charts and strings of numbers to life, Blacknight Space’s Event Horizon uses CesiumJS for mission plans and milestones. Views seamlessly transition from Earth centric to Moon centric—and beyond—to meet the needs of complex storytelling. Read about how Blacknight Space brings real-world understanding to complicated narratives with CesiumJS. 

To retain engineering accuracy while bringing charts and strings of numbers to life, Blacknight Space’s Event Horizon uses CesiumJS for mission plans and milestones.

User Story Trailer: Blacknight Space Event Horizon

Space missions are complex to plan, execute, and communicate to audiences with varying knowledge and interests. To retain engineering accuracy while bringing charts and strings of numbers to life, Blacknight Space’s Event Horizon uses CesiumJS for mission plans and milestones. 

Views in Event Horizon seamlessly transition from Earth centric to Moon centric—and beyond—to meet the needs of complex storytelling. Courtesy Blacknight Space.

Space missions are complex to plan, execute, and communicate to audiences with varying knowledge and interests. To retain engineering accuracy while bringing charts and strings of numbers to life, Blacknight Space’s Event Horizon uses CesiumJS for mission plans and milestones.

Blacknight Space Event Horizon

Event Horizon is an interactive, browser-based 3D mission visualization platform, designed for space operators, engineers, and technical marketers to deliver a dynamic showcase of mission plans and milestones. Teams can confirm trajectories, review events, and educate stakeholders and the public.  The application was recently released as an early beta version.

Blacknight Space supports commercial aerospace companies and US defense organizations, aiming to make the industry dramatically more efficient through digital engineering solutions. Blacknight is an Ansys partner for Digital Mission Engineering and shares AGI heritage with Cesium, championing tools for simulations in challenging environments. 

“Cesium technology is part of our DNA,” said Nate McBee, VP of product and engineering at Blacknight Space.

An Event Horizon overview highlights the Artemis II mission. Courtesy Blacknight Space. 

Blacknight has been developing Event Horizon on CesiumJS since day one, enabling users across the globe to explore live orbital telemetry, verified flight trajectories, and mission milestones in a browser. (Organizations with sensitive information can employ an on-prem version of Event Horizon.) Users have access to curated data from trusted public satellite databases and can bring their own data—trajectory, attitude, and error ellipsoids, among others. 

Event Horizon connects to Cesium ion to provide Cesium World Terrain plus satellite imagery; Google Photorealistic 3D Tiles; and Cesium Moon when mission views bring the user close to Earth or our moon, to ensure efficient streaming of these massive datasets over the web. Users can connect their own ion accounts, too. The app provides models of spacecraft, such as the International Space Station and satellites, and those are rendered as glTF/.glb.  

Views seamlessly transition from Earth centric to Moon centric—and beyond—to meet the needs of complex storytelling. Planners and communicators authoring mission narratives with Event Horizon can add saved views and notes to indicate plans and milestones, like stage separations, payload deployments, or rendezvous, in immersive 4D. Blacknight works closely with partners, such as Cesium and COMSPOC, on physics, ephemeris, and rendering, ensuring accurate representation. 

Event Horizon's web interface provides an interactive 3D representation of space operations, mission milestones, and analytics. Courtesy Blacknight Space. 

“Our end users and customers always comment on how nice the visualizations look, and, in the space industry, accurate visualization is a critical aspect of mission planning and situational awareness. Cesium helps us paint that accurate picture,” McBee said. 

With Cesium’s roots in aerospace and defense, CesiumJS brings out-of-the-box capability to Event Horizon, but its openness and extensibility mean Blacknight can mold it further, implementing unique visualizations and data streams. Blacknight has another advantage, though: two of the organization’s aerospace engineers are Cesium Certified Developers, and McBee estimates they can do in 25% of their time what would require someone else’s full-time efforts. The team gets to their aerospace expertise quickly, while Cesium handles the geospatial context and rendering. 

“Being part of a company that's growing the Cesium ecosystem, after helping others share what they can do, shows how the Cesium community drives real progress,” said Kyle Heisey, director of operations at Blacknight Space. Heisey launched and managed the CCD program when he was a Cesium employee. 

Watch Klaus Konarkowski’s 2026 Cesium Developer Conference breakout session to learn about the role Cesium plays in Event Horizon.

Aerospace visualization with telemetry streaming, propagation and mission events - Klaus Konarkowski

As Blacknight continues its work on Event Horizon, the team is planning support for unique coordinate systems, relative orbit frames, and mobile performance.  

Bring real-world understanding to complicated narratives with CesiumJS and a Cesium ion account. 

Blacknight Space’s Event Horizon Showcases Mission Plans and Milestones with CesiumJS

Today, we are excited to announce the first public release of our Vector Tiles Technology Preview across the Cesium and 3D Tiles ecosystem. This preview is a major step toward our implementation of the 3D Tiles 2.0 standard.  

This update introduces an end-to-end pipeline for tiling massive vector datasets into 3D Tiles using Cesium ion and high-fidelity rendering, including hierarchical level of detail, clamping to terrain, and dynamic styling in CesiumJS and Cesium for Unreal.  

In June, we asked for your feedback on our vision for bringing 3D-native vector data to the 3D Tiles ecosystem. Thank you all for your inputs. From our conversations, we’ve identified and built around three key themes:  

The community needs a scalable way to stream massive, high-precision vector points, lines, and polygons that live in true 3D space while supporting existing 2D and 2.5D workflows such as placing vector data over 3D tilesets. 

To match existing conventions around symbology, styles, and colors, a flexible styling system is required to achieve the desired look with these vector data. 

Improved support for existing community adopted vector data formats is required. We need to be able to support importing those common formats and improve the rendering performance of formats we already support. 

A large vector tileset of global river flows dataset from HydroRIVER, styled by an average long-term discharge estimate for river reach. Zoomed in at the Mississippi River. 

A 3D-native vector tileset displayed along with a photogrammetry mesh of the Robert Street bridge in St. Paul, Minnesota. Shows cracks detected on the structure. Data courtesy of Collins Engineers, Inc. 

A unified workflow for massive 3D vector data 

With this release, you can add performant, global-scale vector rendering to your Cesium applications. You’ll be able to take advantage of the ease-of-use that you’ve come to expect from Cesium: drag-and-drop file upload of common vector data types into ion and add them to your scenes just like any other 3D Tiles asset. 

Cesium's introduction of vectors and CAD-style extensions into the 3D Tiles spec has unlocked the potential for us to provide our customers with highly detailed and faithful representations of the vector drawings they prefer to work with. By leveraging these features of 3D Tiles instead of developing our own proprietary spec, we are able to integrate into the wider open geospatial ecosystem, both contributing back and leveraging the innovations our colleagues in the field develop. 

Tiling vectors provides the best possible experience for our customers, by providing the ability to stream huge datasets, provide different levels of detail to suit the device viewing it, and to do so in a format that preserves the intricacies of the geometry, its styling and its metadata. The end result is a beautiful and performant viewing experience. 3D Tiles 2.0 is the first open specification that supports everything our application demands with extreme technical rigour - that is why we've picked it as our path towards precise, performant and beautifully-rendered vector graphics that rival native desktop solutions. 

Cesium ion has greatly accelerated our testing and prototyping pipeline, letting us focus on the outputs instead of the infrastructure, and rapidly iterate with the Cesium team on building tiling pipelines that suit our specialised needs. 

Harry Morris, Principal Engineer at Propeller Aero 

Progress towards 3D Tiles 2.0: Vector tiles are newly available with 3D Tiles 1.1 and extensions to glTF, and will be part of 3D Tiles 2.0 when ratified later this year. To support vector payloads that stream and render efficiently, we’ve contributed  KHR_mesh_primitive_restart and EXT_mesh_polygon, which can reduce glTF file size by up to 5x in common cases. By using glTF as the underlying tile payload, we ensure that vector data benefits from robust tooling available in the glTF ecosystem.

Vector tilesets in 3D Tiles 2.0 are glTF files, relying on a collection of old and new extensions to 3D Tiles 2.0 and glTF 2.1.

Tile and host vectors in Cesium ion: You can now upload a variety of vector files, including GeoJSON, GeoPackage, Geodatabase and Shapefiles, to Cesium ion to be processed into optimized 3D Tiles. This process preserves input vector properties, enabling semantic property-based LOD generation during tiling, and property-based operations and styling at runtime.

Tiling and hosting pipeline illustration. Various vector data formats are consumed with the geometry and property processed into 3D Tiles.

High-fidelity, high-precision visualization in CesiumJS: Experience high-performance rendering of massive vector datasets in the browser. Visualize 3D-native vectors directly in your geospatial context. Use the semantic metadata of the input vector data with Cesium’s styling capabilities to create dynamic, engaging visualizations.

Global river flows dataset from HydroRIVER. Showing North American view with fine LODs.

Initial support for Mapbox Vector Tiles (MVT) in CesiumJS: Load and drape existing 2D Mapbox vector tiles with 3D geospatial context, including streaming from existing third-party data sources. This was a popular request from the community, thanks again for your input!

The full OpenStreetMap road network for Philadelphia, styled by road class.

Cesium for Unreal (Engine Integration): Bring millimeter-precision vector data into Unreal Engine for immersive simulations and digital twins. This enables use cases like displaying complex road networks or AI-extracted infrastructure features directly within a game engine environment.

ODIS street segments for Berlin, styled by road class.

One of the most critical capabilities in this release is support for clamping vectors to terrain and 3D tiles. We know that for our users, precision is paramount. That’s why vector lines and polygons can now be clamped, or draped, to both global terrain and 3D Tiles types, such as high-resolution reality meshes and photogrammetry. Clamping 2D vectors directly to 3D Tiles allows for precisely aligning design strings to a scanned bridge or accurately overlaying AI-extracted features on a reality mesh. 

Polylines and polygons draped to Cesium World Terrain near Mount Hood, Oregon. 

Powerful, metadata-driven styling foundation 

A core benefit of our approach is the preservation of semantic metadata, which powers Cesium’s 3D Tiles Styling language. Using glTF extensions like EXT_mesh_features and EXT_structural_metadata enables you to style your data based on real-world attributes. 

Declarative styling in CesiumJS: Use JSON-based expressions to define rules for how features appear. For example, you can color building footprints by usage type or adjust line thickness based on traffic volume. 

Dynamic visuals: The preview supports sophisticated visuals at runtime, enabling styling that changes interactively, even for large datasets, for use cases like filters and animation. 

Per-feature control: Query and style individual elements enabling interactive visualizations where features respond to user input. 

Today's release contains our initial support for visual properties like line widths and colors, and we plan to add more styling capabilities, draping and styling support for points, and more over the coming months.

As we continue to build towards 3D Tiles 2.0 with vector tiles, we’d love your input to influence our roadmap. In particular: 

What styling capabilities will you need for your use cases? 

Are you using vector databases like GeoParquet or PostGIS? 

How does your application approach layering of vector data? 

We want to hear how you use these new styling, streaming, and clamping capabilities to solve your most complex geospatial challenges.  

Share your feedback on the Cesium Community Forum, we'd love to hear about your experiences. 

Documentation: Vector Tiles Technology Preview

Tutorial: Drape and style vector data on terrain and 3D Tiles

Tutorial: Load Mapbox Vector Tiles in CesiumJS

Tutorial: Vector Tiles in Cesium for Unreal

Sandcastle: Global Rivers Vector Tiles with Property-based LOD

Vector Tiles: A Technology Preview for Cesium and 3D Tiles 

In this month’s releases, we’re moving vector tiles, clipping polygons, design models, and asset management forward:  

This release contains our vector tiles technology preview, representing significant progress towards our implementation of 3D Tiles 2.0. You can now complete end-to-end vector workflows by uploading common vector data file formats into ion for tiling and then streaming those tiles to CesiumJS and Cesium for Unreal. Use the CesiumJS styling language to dynamically style those vectors in your applications. See our blog post for all the details. 

We’ve also improved CesiumJS clipping polygons based on similar techniques used in our vector tiles implementation. You can now create detailed clipping regions over large geographic areas. 

In the coming days, Cesium ion will introduce new capabilities for working with design models (BIM/CAD with Database), including an API to list the changes between two versions of a model. Keep an eye out for our blog post! The Cesium ion release will also include a new asset management model that separates source files from tiled assets, giving users greater control over storage usage today while laying the foundation for future capabilities, such as retiling data without reuploading source files. 

CesiumJS 1.145 is now available. Highlights of the release include: 

As part of the vector tiles technology preview, added support for draping clamped vector tile polygons and polylines onto 3D Tiles, with a new heightReference option and matching read-only property on BufferPrimitiveCollection. You can now drape your vectors onto terrain and 3D Tiles. #13653

ClippingPolygons now use an algorithm, based on the techniques used for vector tiles, that vastly improves quality across distance scales. You can now clip regions of the world across multiple miles with accurate vector cutouts. Warm-up cost is also modestly decreased. #13654 

ClippingPolygons now have support for specifying holes (aka islands) within each polygon for complex clipping tasks. This works in inverse clipping workflows as well. #13660 

Added experimental IonSnapService for server-side snap-to-geometry against Cesium ion assets backed by a BIM/CAD Database model, and the SnapService interface it implements. This enables building features such as measurement of design geometry with CAD-level precision and accuracy. #13682 

A GeoJson footprint of Sweden used as a clipping polygon on the globe, now with support for holes (excluded regions) inside the clipping polygon. 

Cesium for Unreal v2.29.1 is now available. 

This release updates cesium-native from v0.63.0 to v0.64.0. See the changelog for a complete list of changes in cesium-native. 

Cesium for Unity v1.25.1 is now available. Highlights of this release include: 

Fixed a NullReferenceException that could be thrown if a CesiumCreditSystem was destroyed before it was ever enabled. 

Fixed a bug where CesiumCreditSystem would not unsubscribe from delegates on disable, causing duplicate subscriptions when re-enabled. 

In addition to the above, this release updates cesium-native from v0.63.0 to v0.64.0. See the changelog for a complete list of changes in cesium-native. 

**Cesium ion SaaS** 

- Exciting new features for working with design models are coming to Cesium ion this week! Watch for our blog post.  
- In the next few days we will release improvements to how assets are managed in Cesium ion. The source files for tiled data will be managed separately from the tiled assets, which will immediately give users more control over their Cesium ion storage quota. It will unlock more enhancements in future releases, such as the ability to retile without reuploading source files.  
    - Note: This change will result in a recalculation of account storage totals. As a result, we will also increase the storage quotas for each Cesium ion tier. Look for more details through email and in your Cesium ion account.  
- Updated the vector tiler to accept new formats. Also changed the enum for the SourceType that runs the vector pipeline from `GEOJSON` to `VECTOR_DATA`. [Read more in the vector tiles technology preview blog](https://cesium.com/blog/2026/09/02/vector-tiles-technology-preview-cesium-and-3d-tiles/). 

**Cesium ion Self-Hosted**

Cesium ion Self-Hosted 1.11.0 is now available. 

- Added the ability to run self-hosted reconstruction jobs using iTwin Capture. To learn more, contact Cesium sales.  
- Added support for labels. 
- Design tiler: added IfcSpace relations to element properties in IFC metadata. 
- Fixed a bug with `features.deleteSources` where the sources volume wasn’t being cleaned correctly. 
- Point cloud tiler: fixed an issue where PNTS attributes could have incorrect alignment if compression was turned off. 
- Design tiler: tweaked IFC swept circular geometry for more consistent rotational offsets. 
- Reality tiler: fixed a race condition that could lead to subtree files with content/availability bits incorrectly set to zero. 

**Vector tiler**

- New vector tiler available as a technology preview. 

**Design tiler**

- Fixed an issue where texture scales can be wrong when using Meshopt compression. 
- Changed `noData` value for float-type metadata to `-9999.0`, from `0`. This makes collisions with real metadata values less likely. 

CalTa’s TRANCITY ARCADE uses Cesium ion, 3D Tiles, and Cesium for Unreal to create interactive applications for education, training, safety awareness, facility guidance, and communication. 

The Acceleration Agency is building a web-based CesiumJS digital twin for the Port of Corpus Christi that will serve ArcGIS data to secure external partners during emergencies. 

Hopeworks uses Cesium for Unreal and Google Photorealistic 3D Tiles to place Blender models in geospatial context for Camden city planning.

3D Tiles has become the foundational OGC community standard for the 3D geospatial ecosystem. Massive, heterogeneous 3D geospatial datasets such as 3D photogrammetry and reality models, 3D buildings, point clouds, and Gaussian splats can be encoded as 3D Tiles, optimized for streaming, and rendered with high precision and performance. To power these experiences, Cesium has built robust tiling pipelines to process various types of source data into highly optimized tilesets. Because 3D Tiles is built for interoperability, these tilesets can be seamlessly streamed and visualized across a wide-open ecosystem of runtime engines, including CesiumJS, Cesium for Unreal, Three.js, BabylonJS, QGIS, and Godot. 

To accelerate and streamline how we optimize 3D geospatial data, we are introducing a new concept: composable tiling pipelines. Built on a unified, modular architecture of reusable and configurable components, this new approach offers significantly better flexibility for tiling your data. As always, the evolution of our platform is guided directly by your input. To kick off this community discussion, we’re sharing our vision for composable tiling based on feedback we've gathered so far. We’d love to learn about your current workflows, the challenges you face delivering complex 3D content, and which capabilities you want us to prioritize. 

Google Photorealistic 3D Tiles of Philadelphia, Pennsylvania, USA.

The current generation of tilers are specialized, separate pipelines for each type of data. Terrain, imagery, 3D photogrammetry, point clouds—each of these has a dedicated tiler. As the number of tilers continues to grow, we’ve shifted our thinking from “How can we create a tiler for a new type of data?” to “How can we bring together the best of our algorithms to create the most efficient 3D Tilesets?” Making that leap requires a new architecture. 

It’s more than just a technical upgrade, though: this new architecture sets the stage for faster, more flexible tiling pipelines that better serve the community. We’ve been watching a few key trends unfold, and it’s clearly time to recalibrate and evolve our approach. 

First, datasets are getting larger, with higher resolution and greater detail, and are captured more frequently. We’re moving beyond terabytes in some cases. As such, it's critical that our tiling pipelines scale with such massive datasets. 

Second, datasets are increasingly heterogeneous, often with mixed resolutions. We frequently see design models overlaid on photogrammetry or terrain, all in a single model file. In these cases, the usual approach is to separate the data, tile it into two tilesets and then combine those into a single 3D tileset. This has been an acceptable approach so far, but there is ample room for optimization. 

Finally, many users have asked for more fine-grained configurability and to perform additional customization relevant to their use cases—for example, it’s becoming increasingly important to combine tiling pipelines with data analysis and enrichment workflows, like point cloud classification in Cesium ion. 

We believe a well-executed composable architecture addresses all the above: it paves the way for robust multi-node processing to handle massive datasets; it can naturally handle heterogeneous data; and it is, by design, both flexible and extensible. 

Composability is a well-established concept in software engineering. The idea is to construct a system, usually a program or series of programs, out of small building blocks, or components, where each component is responsible for a relatively small task. The components can then be chained together, or composed, to accomplish more complex tasks. 

In the context of tiling, composability boils down to how we structure data transformations. A point cloud tiling pipeline, for example, might consist of the following steps: load the input data, remove duplicate points and outliers, divide the points into an octree, iteratively merge and simplify octree nodes to fill out a 3D Tiles tree, and, finally, optimize each tile in the tree by applying geometry and attribute compression. Each of these steps could be implemented by a single component in the pipeline, and we can visualize this with a simple node graph: 

A node graph for a possible point cloud tiling pipeline.

The example of a point cloud tiling pipeline is a relatively simple one. To illustrate the power of composable architecture, let’s consider a more complex scenario. Imagine a dataset that consists of CAD data, in the form of implicit surfaces and triangle meshes for organic surfaces. With our current tilers, the data needs to be split into two different datasets as input, tiled individually, and either combined into one tileset with a common root tile or streamed as two different tilesets to the application. With composable tiling pipelines, the process could be configured like the diagram below, producing a single spatially coherent and optimized tileset.

Composable tiling pipeline for dataset with CAD data (implicit surfaces) and triangle mesh data.

This example highlights two distinct advantages of composable architecture. First, the pipeline can seamlessly handle two very different types of data. By setting up a pipeline configured for the input data, there is no need to pre- or post-process the data. 

Second, notice how the process diverges into two paths but then converges back into one. After the implicit surfaces are tessellated, they can be treated just like triangle meshes—in fact, they are triangle meshes at this point. With two separate tilers, we would be doing redundant work to process triangle mesh data. With composable tiling pipelines, we are able to reuse nearly half of the components in the pipeline and streamline the entire process. As we consider larger and more complex pipelines, the ability to reuse as many components as possible becomes increasingly attractive. 

The benefits of a comprehensive approach also extend to runtime performance. Merging two separately optimized tilesets may not produce an optimal result, because the tiling algorithm isn't "aware" of all geometry in each spatial region. This can cause the merged tileset to have excessive geometry in some areas, even if the original tilesets were well balanced. A comprehensive tiling algorithm avoids this issue as it’s "aware" of all the data from the start. 

Configuring composable tiling pipelines 

We’ve described an architecture and explored early examples, but how will users configure tiling pipelines? Our baseline plan is to have a library of off-the-shelf components from which users can choose. We envision a new, web-based GUI, backed by a published JSON schema, with a node graph editor for constructing composable pipelines with these components. Users will be able to drag and drop, arrange, and connect components in a simple graphical interface. Users familiar with Unreal Engine’s node editor or with the Rete.js project should feel right at home. 

A mockup showing the potential look of a graph editor for composable tiling.

The composable tiling pipelines will include preconfigured pipelines for the most common types of tiling workflows. This way, the most common use cases won’t require additional configuration. 

For those who prefer a text editor, or who use the Cesium ion REST API, we expect to enable a JSON scheme that describes a pipeline and specify relevant options. (In fact, the JSON configuration would likely be an underlying implementation detail of the node graph editor.) Here’s what the configuration file for the point cloud example above might look like: 

Example JSON file for a composable point cloud tiling pipeline.

Many of these ideas are still incubating, and we want community needs to guide our roadmap. We’d love to hear from you:  

What capabilities would be most valuable in a composable tiling pipeline? 

What formats, transformations, or integrations would support your workflows? 

How could this architecture help you build better experiences with Cesium? 

Your feedback will help shape the next generation of tiling pipelines. Share your thoughts with us on the community forum. 

Help Us Shape Composable Tiling Pipelines for Next-Gen Workflows 

インフラ分野では、現実の施設や現場を3Dデータとして取得し、管理する取り組みが急速に広がっている。 CalTaのTRANCITY ARCADEは、Cesium ion、3D Tiles、Cesium for Unrealを基盤として、教育や訓練、安全理解、施設案内、コミュニケーションのための体験型アプリケーションを実現している。 

工事現場の３Dモデルをゲーミフィケーションコンテンツに使用　(提供：CalTa株式会社) 

点群、写真測量、3Dモデル、Gaussian Splattingなどの技術により、鉄道、発電所、都市空間、公共施設といった複雑な環境を、これまで以上に高精度にデジタル空間へ再現できるようになってきた。 

こうしたデータは、施設の構造を把握し、設備同士の関係を理解し、安全上の注意点を学ぶために活用されている。また、若手技術者に対して、普段は簡単に立ち入ることのできない施設の全体像を伝えたり、地域やステークホルダーにインフラの役割や価値を分かりやすく共有したりすることにも役立っている。 

CalTaとキャドセンターが共同で開発するTRANCITY ARCADEは、、この問いに対する一つの答えである。インフラの3Dデータを、教育、訓練、安全理解、施設案内、コミュニケーションのためのインタラクティブなアプリケーションへ展開し、人々が学び、理解し、共有し、現場での判断に活かせる環境を実現している。 

TRANCITY ARCADEは、写真、点群、3D Gaussian Splattingなどの現実世界のデータから生成された3D空間をもとに、移動ルート、クイズ、インタラクティブなオブジェクトなどを配置し、体験型コンテンツを構築できるプラットフォームである。 

TRANCITY Nebulaで管理される現場データを、Cesium ionを通じて大規模3Dデータとして最適化・配信し、Cesium for Unrealによって地理空間の文脈を保ったままUnreal Engine上のリアルタイム体験へ接続する。 

TRANCITY ARCADE：インフラデータを体験型アプリケーションへ 

従来のTRANCITYやTRANCITY Nebulaは、インフラの3Dデータを取得し、管理し、共有するための基盤として重要な役割を果たしてきた。現場を記録し、点群や3Dモデルを管理し、関係者が同じ空間情報を参照できるようにすることは、インフラデータ活用の出発点である。 

TRANCITY ARCADEの注目すべき点は、TRANCITY Nebulaで取得・管理・共有しているインフラデータを活用し、TRANCITY ARCADEと連携させることで、教育や体験のためのアプリケーションへ展開できる点にある。 

ARCADEでは、現場から取得された3Dデータを、単に閲覧する対象として扱うのではなく、利用者が目的に応じて体験を設計できる空間として扱う。再現された施設や現場の中に、移動ルートを設定する。特定の設備や危険箇所にクイズを配置する。視点を切り替えながら施設全体を理解する。インタラクティブなオブジェクトを通じて、紙資料やスライドでは伝わりにくい現場のスケール感や注意点を学ぶ。 

ここで重要なのは、「ゲーム化」そのものではない。インフラ現場における学習や教育は、単に知識を覚えることではなく、空間の関係性を理解し、状況を判断し、実際の行動に結びつけることが求められる。TRANCITY ARCADEは、現場データをそのような学びの場へ変えるためのアプリケーションである。 

橋りょう点検をテーマにしたゲーミフィケーションコンテンツ　 (提供：CalTa株式会社) 

J-POWERの現場で見えてきた、教育・安全・施設理解のユースケース 

TRANCITY ARCADEの実用性を示す例として、J-POWERにおける取り組みがある。発電所のような大規模インフラ施設では、現場を理解すること自体が簡単ではない。設備は広範囲に分散し、構造は複雑で、すべての場所を自由に見学できるわけではない。安全教育においても、実際のリスクを現場で体験させることには限界がある。 

J-POWERでは、発電所などのインフラ資産を対象に、CalTaと共同でCesium for Unrealを用いたゲーミフィケーションコンテンツの開発・検証を進めている。若手社員や新任者が、施設の全体像を早く理解する。。管理者が、設備や空間の関係性を直感的に説明する。こうした用途において、3D空間は、学習と判断を支える環境になる。 

安全教育の観点でも、このような体験型アプローチには大きな可能性がある。容易に現場へ行くことができない場所や、安全上立ち入りが制限される環境であっても、インタラクティブなクイズなどを通じて、状況理解や学習を行うことができるからである。単に手順を覚えるのではなく、「なぜ危険なのか」「どこに注意を向けるべきなのか」を体験を通じて理解できることは、安全意識の向上にもつながる。 

現実の現場で失敗することは許されなくても、体験空間の中では学ぶための試行錯誤ができる。普段は立ち入ることが難しいインフラ施設を、地域住民や一般のステークホルダーに分かりやすく伝える手段にもなり得る。インフラは社会に不可欠でありながら、その役割や仕組みが一般の人々には見えにくい領域である。 

現実世界の施設を地理空間の文脈を保ったまま体験できることは、インフラの専門家だけでなく一般の人々にとっても、施設や周辺環境への理解を深めることにつながる。Cesiumは、その文脈を維持しながら現実世界のデータをインタラクティブなアプリケーションへ接続することで、こうした体験を支えている。 

TRANCITY ARCADEは、産業向けの3D体験がどこへ向かうのかを示している。それは現実の施設、実際の業務、そこに関わる人々の学びや理解に寄り添うものである。より楽しく、より能動的に、より安全に学べる環境を作ることは、企業にとっても、そこで働く人々にとっても、地域社会にとっても意味がある。

J-POWER と CalTa が検証を進めているゲーミフィケーションコンテンツの画面イメージ（提供：J-POWER）

J-POWER と CalTa が検証を進めているゲーミフィケーションコンテンツの画面イメージ（提供：J-POWER）
Gamified content being developed and evaluated by J-POWER and CalTa. Courtesy J-POWER.

③動画（JPOWER QUESTのプレイ画面）

CalTaとキャドセンターがつなぐ、インフラ知見とリアルタイム3D実装 

この取り組みを支えているのは、CalTaとキャドセンターそれぞれの異なる強みである。CalTaはインフラ現場のデータと業務理解を持ち、キャドセンターはリアルタイム3D表現とインタラクティブな体験設計を実装する力を持っている。TRANCITY ARCADEでは、この二つの専門性がCesiumの地理空間技術と結びつき、現場データを実際に使えるアプリケーションへと展開している。 

やGoogle Photorealistic 3D Tilesのような技術検証、都市空間や施設空間の表現、インタラクティブな体験設計において、開発者としての実装力を持っている。 

CalTaが持つインフラデータ活用の知見と、キャドセンターが持つリアルタイム3D実装力は、 

Cesium ion：3Dデータのホスティング、タイル化、ストリーミングを行うプラットフォーム 

 3D Tiles：大規模な3Dデータを効率的かつ最適化された形で配信・利用するためのフォーマット 

Cesium for Unreal：ゲームエンジン上で3D地理空間エコシステムを活用可能にするプラグイン 

といったCesiumの技術と地理空間基盤の上で結びついている。 TRANCITY ARCADEのもう一つの特徴は、ノーコードアプローチにある。移動ルートやクイズ、インタラクティブなオブジェクトの配置を、専門的なゲーム開発の知識がなくても行うことができる。 

こうして、現場データ、地理空間技術、業務理解、体験設計が統合され、教育や訓練に活用できる産業向けアプリケーションが実現している。 

TRANCITYARCADEでのゲーミフィケーションコンテンツ作成状況　(提供：CalTa株式会社) 

TRANCITYARCADEでのゲーミフィケーションコンテンツ作成状況 (提供：CalTa株式会社) 
Gamified content being created in TRANCITY ARCADE. Courtesy CalTa Inc.

④動画（TRANCITYARCADEでゲーミフィケーションコンテンツ作成状況）

記録された現場から、学びと行動につながる空間へ 

3Dデータの価値は、記録や管理の中だけで完結するものではない。人が理解し、学び、判断し、行動できる形になったとき、その価値はさらに広がる。 

TRANCITY ARCADEは、インフラデータを「見る」ための3Dから、「使う」 

ための3Dへ展開し、教育、安全理解、施設理解といった具体的な業務価値を実現している。Cesiumは、現実世界の3Dデータを地理空間の文脈を保ったまま実用的なアプリケーションへつなぐ基盤を提供している。詳しくは Cesium ionを参照されたい。 

CalTa’s Trancity Arcade Turns Infrastructure Data into Spaces for Learning, Judgment, and Communication with Cesium for Unreal 

Across the infrastructure industry, organizations are increasingly capturing and managing real-world sites and facilities as 3D data. CalTa’s TRANCITY ARCADE uses Cesium ion, 3D Tiles, and Cesium for Unreal to create interactive applications for education, training, safety awareness, facility guidance, and communication. 

 A 3D model of a construction site used in gamified content. Courtesy CalTa Inc.

With point clouds, photogrammetry, 3D models, and Gaussian splatting, complex environments such as railways, power plants, urban spaces, and public facilities can be recreated in digital space with high fidelity. Teams use this data to understand the structure of a facility, grasp the relationship between different pieces of equipment, learn safety considerations, help younger engineers understand the full context of a site that is not easily accessible, or communicate the role and value of infrastructure to local communities and stakeholders. 

TRANCITY ARCADE, jointly developed by CalTa and CAD CENTER, extends infrastructure 3D data so people can learn, understand, communicate, and make better decisions in the field. Cesium-powered TRANCITY ARCADE is a platform for creating experiential content by placing routes, quizzes, and interactive objects within 3D spaces generated from real-world data, such as photographs, point clouds, and 3D Gaussian splatting. 

Site data managed in TRANCITY Nebula is optimized and streamed as large-scale 3D data through Cesium ion, then brought into a real-time Unreal Engine experience through Cesium for Unreal while preserving geospatial context. 

TRANCITY ARCADE: Turning infrastructure data into experiential applications 

TRANCITY and TRANCITY Nebula have played an important role as platforms for capturing, managing, and sharing infrastructure 3D data. Recording sites, managing point clouds and 3D models, and enabling stakeholders to refer to the same spatial information are foundational steps in making infrastructure data useful. 

What makes TRANCITY ARCADE noteworthy is that infrastructure data captured, managed, and shared through TRANCITY Nebula can be used in connection with TRANCITY ARCADE and extended into applications for education and experiential learning. 

In ARCADE, 3D data captured from the field is not merely something to view. Instead, it becomes a space where users can design experiences according to their purpose. Users set movement routes inside a recreated facility or site, place quizzes at specific equipment or risk points, switch viewpoints to understand the entire facility, and use interactive objects to learn scale, context, and safety considerations that are difficult to convey through paper documents or slides alone. 

The goal is not gamification itself. In infrastructure training and education, learning is about more than memorizing information; it requires understanding spatial relationships, recognizing situations, and connecting that knowledge to real-world action. TRANCITY ARCADE turns site data into this kind of learning environment.

Gamified content themed around bridge inspection. Courtesy CalTa Inc. 

Use cases for education, safety, and facility understanding at J-POWER 

A good example comes from J-POWER. At large-scale infrastructure facilities, like power plants, understanding the site itself is not easy. Equipment is distributed across wide areas, structures are complex, and not every location can be freely accessed. In safety education, there are also limits to what risks can be experienced directly in the field. 

J-POWER is working with CalTa to develop and evaluate gamified content using Cesium for Unreal for infrastructure assets, such as power plants. New employees and younger engineers can learn the full context of a facility more quickly. perspectives. Managers can explain relationships between equipment and spaces more intuitively. For these scenarios, 3D space becomes an environment that supports learning and judgment. 

Experiencing real-world facilities while preserving their geospatial context can help both infrastructure professionals and the public better understand facilities and their surrounding environments. Cesium helps make these experiences possible by connecting real-world data to interactive applications while maintaining that context.

This type of experiential approach has significant potential for safety training. Even in places that are not easy to visit in person, or environments where access is restricted for safety reasons, users can build situational understanding and learn through interactive quizzes and related experiences. Rather than simply memorizing procedures, users can understand through experience why something is dangerous and where their attention should be directed. Even when failure is not acceptable in the real world, an experiential space allows people to learn through trial and error. 

These experiences are not limited to internal training. They can also help communicate infrastructure facilities that are usually difficult to access to local communities and general stakeholders. Infrastructure is essential to society, but its role and mechanisms are often difficult for the public to see or understand. 

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インフラデータを、学び、判断し、伝えるための体験空間へ

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