Cesium for Omniverse v0.29.0

Cesium for Unity Samples v1.25.1

CesiumJS 1.145

3D Tiles

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. 

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 1.145 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. 

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

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. 

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** 

- 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. 

TRANCITY ARCADE offers a practical example of how industrial 3D experiences can be applied today, as experiences connected to real facilities, real work, and the real people who learn from and engage with them. Creating environments that make learning more engaging, active, and safe has value for companies, for the people who work there, and for the communities around them. 

Gamified content being developed and evaluated by J-POWER and CalTa. Courtesy J-POWER.

Connecting infrastructure expertise with real-time 3D implementation 

TRANCITY ARCADE brings together complementary strengths: CalTa’s infrastructure data expertise and CAD CENTER’s real-time 3D implementation capabilities. In TRANCITY ARCADE, these two areas of expertise are connected through Cesium’s geospatial technology to turn site data into a useful application. 

CalTa has worked on capturing, managing, and using site data in railway and infrastructure domains and provides a platform for handling infrastructure 3D data through TRANCITY Nebula. TRANCITY ARCADE is an extension of this work: it takes infrastructure data accumulated for management and visualization and extends it into applications for education and experience. 

CAD CENTER has long worked on 3D city models, digital twin visualization, and real-time 3D expression. It has implementation expertise in technologies such as Cesium for Unreal and Google Photorealistic 3D Tiles, as well as in spatial visualization, facility environments, and interactive experience design. 

CalTa’s knowledge of infrastructure data use and CAD CENTER’s real-time 3D implementation capabilities come together on a geospatial foundation built with Cesium: 

Cesium ion, the platform for hosting, tiling, and streaming 3D data; 

3D Tiles, the format for efficient and optimized data; and 

Cesium for Unreal, the plugin for unlocking the 3D geospatial ecosystem for game engines. 

Another key characteristic of TRANCITY ARCADE is its no-code approach. Routes, quizzes, and interactive objects can be configured without specialized game development expertise. 

With CalTa, CAD CENTER, and Cesium coming together in TRANCITY ARCADE, site data, geospatial technology, domain understanding, and experience design are integrated, enabling an industrial application for education and training. 

Gamified content being created in TRANCITY ARCADE. Courtesy CalTa Inc. 

From recorded sites to spaces for learning and action 

The value of 3D data expands when it reaches people in a form that supports understanding, learning, judgment, and action. 

TRANCITY ARCADE extends infrastructure data from “3D for viewing” to “3D for using,” creating concrete operational value in education, safety awareness, and facility understanding. Cesium provides the foundation for connecting real-world 3D data to practical applications while preserving geospatial context. 

Get started with your own Cesium ion account. 

インフラデータを、学び、判断し、伝えるための体験空間へ 

In July, we released Sandcastle Copilot, an AI-assisted chat panel built into Sandcastle so developers can create, edit, and debug CesiumJS sandcastles; introduced CAD-style workflow extensions for glTF and 3D Tiles 2.0 to deepen and enhance the ties between infrastructure and interoperability; opened a joint office with Bentley and Seequent in Tokyo as a hub for the 3D geospatial ecosystem; and posted the recorded sessions from the 2026 Cesium Developer Conference, so the community can explore ideas at any time. 

In this month’s releases, we’re continuing to advance our work on BIM and CAD support and vector data in 3D Tiles by: 

Adding support for glTF extensions across Cesium viewers to support CAD-style rendering of design models. These extensions let engineering and design models render with the fills, lines, and points they were authored with. 

Adding support for clamping lines and polygons to terrain to drape vector datasets for accurate visualization. 

Improving performance and fixing bugs to enable loading even larger design models. 

A CAD model rendered in CesiumJS with visible edges drawn without any surfaces (wireframe style).

CesiumJS 1.144 is now available. Highlights of the release include: 

To improve CAD-style rendering, CesiumJS adds support for the Bentley-contributed BENTLEY_materials_planar_fill glTF extension, bringing planar polygon fill with depth sorting and coplanar ordering that keep overlapping surfaces from flickering. 

Vector rendering now supports clamping vector polylines and polygons to terrain with screen-space-constant width lines and per-feature styling through Cesium3DTileStyle. This allows massive, tiled visualization of datasets like road connectivity, rivers, and census blocks that correctly overlay on top of terrain. 

Picking of metadata from WMTS imagery providers now works when the imagery layer is draped on 3D Tiles. 

Added a new Controller framework for creating custom camera controllers. It is more configurable and composable than the preview ScreenSpaceCameraController and is designed to serve asset inspection use cases, including underground models. 

Models using the EXT_mesh_primitive_edge_visibility extension now load with significantly less JavaScript heap (up to 19x less memory). 

2D polygons and lines draped over Cesium World Terrain.

Cesium for Unreal v2.29.0 is now available. Highlights of this release include: 

Cesium Native and Cesium for Unreal added support for the Bentley Systems point style extension, enabling rendering points as circles with varying pixel diameters via the BENTLEY_materials_points_style glTF extension. 

GeoJSON Point and MultiPoint geometry is now rasterized and visualized alongside lines and polygons when loading vector tiles, useful for marking POIs or other locations in your scenes. 

Removed support for Unreal Engine 5.5. Unreal Engine 5.6 or later is now required. 

Points with varying diameter, visualized in Cesium for Unreal on top of Cesium World Terrain draped with Google Maps 2D Contour imagery.

Cesium for Unity v1.25.0 is now available. Highlights of this release include: 

You can now use Cesium for Unity on Linux x86-64. 

Added support for building and running the plugin in Unity 6.5. 

Fixed a bug that prevented the Cesium ion troubleshooting window from opening for a CesiumGeoJsonDocumentRasterOverlay. 

An ion Token Troubleshooting window, opened for a GeoJSON footprint draped on Cesium World Terrain.

Available this week: reconstruct 3D reality models from photos, with technology powered by iTwin Capture. Connect with your account manager for information and access. 

We removed an internal memory limit in the design tiler that could stall tiling on complex IFC files. The trigger was hard to predict from a file's size or contents, so more of these files now tile without hanging.

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

Cesium Releases in September 2026

Help Us Shape Composable Tiling Pipelines for Next-Gen Workflows

インフラデータを、学び、判断し、伝えるための体験空間へ

Cesium Releases in August 2026

Cesium at SIGGRAPH 2026

Introducing CAD-Style Workflow Extensions for glTF and 3D Tiles 2.0