# 01Spatial Documentation

> 01Spatial visual positioning documentation for spatial capture, mapping, localization, and AR integration.

## English (en)

> Publication status: published.

- [Get Started](https://portal.01spatial.ai/ai-docs/en/overview.md): Choose the shortest path from your source data to a working 01Spatial result.
- [How it works](https://portal.01spatial.ai/ai-docs/en/concepts/platform-workflow.md): See how one Spatial Map serves people, robots, and venue operators through two distinct product roles.
- [For AR developers](https://portal.01spatial.ai/ai-docs/en/concepts/for-ar-developers.md): Understand project scale, SLAM–VPS collaboration, cross-light localization, and operable AR content.
- [For robotics developers](https://portal.01spatial.ai/ai-docs/en/concepts/for-robotics-developers.md): Integrate visual positioning, trajectory analytics, and private deployment into robotics systems.
- [Scan a space with a standard camera](https://portal.01spatial.ai/ai-docs/en/mapping/standard-camera-video/capture.md): Scan a space with continuous standard-camera video and the coverage and image quality required for mapping.
- [Configure standard-camera scan data](https://portal.01spatial.ai/ai-docs/en/mapping/standard-camera-video/map-configurator.md): Use video frames to define the map origin, scale, and orientation, then strengthen connections where needed.
- [Build the standard-camera video map](https://portal.01spatial.ai/ai-docs/en/mapping/standard-camera-video/build.md): Start a cloud build from standard-camera video and validate the resulting map before release.
- [Scan a space with a 360° camera](https://portal.01spatial.ai/ai-docs/en/mapping/panorama-camera-video/capture.md): Plan a looped route, record stable panoramic coverage, and export a mapping-ready 2:1 video.
- [Use 01Spatial Reference Boards](https://portal.01spatial.ai/ai-docs/en/mapping/panorama-camera-video/spatial-reference-board.md): Choose zero to ten printable boards and give the map a verifiable real-world size, origin, and orientation.
- [Configure scan data](https://portal.01spatial.ai/ai-docs/en/mapping/panorama-camera-video/map-configurator.md): Use GCPs to define real-world size and coordinates, then strengthen connectivity and distance evidence where needed.
- [Build the 360° video map](https://portal.01spatial.ai/ai-docs/en/mapping/panorama-camera-video/build.md): Start a cloud build, understand map states, and validate localization before release.
- [Scan with Polycam](https://portal.01spatial.ai/ai-docs/en/mapping/mobile-3d-scanning/polycam.md): Capture a space in Polycam, export the complete Raw Data package, and upload it to 01Spatial.
- [Scan with KIRI Engine](https://portal.01spatial.ai/ai-docs/en/mapping/mobile-3d-scanning/kiri-engine.md): Capture a LiDAR Scene Scan in KIRI Engine, export the complete Raw Data package, and upload it to 01Spatial.
- [LiDAR scanning overview](https://portal.01spatial.ai/ai-docs/en/mapping/lidar.md): Learn why professional LiDAR reality-capture data is the recommended input and how to prepare it.
- [Scan with Matterport](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/matterport.md): Prepare a self-contained Matterport E57, upload it, and validate the resulting map.
- [Scan with FARO](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/faro.md): Package registered FARO scan-station E57 files and build one connected map.
- [Scan with NavVis](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/navvis.md): Capture a continuous NavVis route and upload one image-and-point-cloud E57.
- [Scan with Leica RTC](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/leica-rtc.md): Export a registered Leica E57 with station images and 3D data for mapping.
- [Scan with Hexagon RealSLAM](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/hexagon-realslam.md): Prepare a continuous RealSLAM scan and upload its complete E57.
- [Scan with XGRIDS](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/xgrids.md): Upload an XGRIDS E57 with spherical images, poses, and point cloud.
- [Scan with FJD](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/fjd.md): Package FJD panoramas, pose CSV, and optional E57 into one validated input.
- [Scan with CHCNAV](https://portal.01spatial.ai/ai-docs/en/mapping/lidar/chcnav.md): Match CHCNAV panoramas to a text pose table and optional LAS point cloud.
- [Manage maps](https://portal.01spatial.ai/ai-docs/en/maps/manage.md): Create maps, understand every map-card state and action, and use Move or Transfer safely.
- [Explore a map](https://portal.01spatial.ai/ai-docs/en/maps/explore.md): Inspect points, meshes, the origin, and mapping cameras with the Space Studio Map Panel.
- [Add content](https://portal.01spatial.ai/ai-docs/en/maps/add-content.md): Place, organize, and save models, geometry, lights, and annotations in map coordinates.
- [Run a localization test in Space Studio](https://portal.01spatial.ai/ai-docs/en/localization/space-studio-test.md): Validate a ready map with representative images before integrating a client.
- [Launch AR on Android](https://portal.01spatial.ai/ai-docs/en/localization/launch-ar/android-webxr.md): Open the map and its Content in an ARCore-backed Chrome WebXR session.
- [Launch AR on iOS](https://portal.01spatial.ai/ai-docs/en/localization/launch-ar/ios-app-clip.md): Launch an ARKit-backed App Clip from the Space Studio QR code.
- [Launch AR in WeChat](https://portal.01spatial.ai/ai-docs/en/localization/launch-ar/wechat-mini-program.md): Open the mapped AR experience from a server-generated WeChat Mini Program code.
- [Localization API & AR integration](https://portal.01spatial.ai/ai-docs/en/localization/localization-api.md): Send synchronized camera data, read the returned pose, and align AR content.
- [Unity template](https://portal.01spatial.ai/ai-docs/en/localization/templates/unity.md): Connect synchronized AR Foundation camera samples to 01Spatial and align a map root.
- [WeChat Mini Program template](https://portal.01spatial.ai/ai-docs/en/localization/templates/wechat-mini-program.md): Use synchronized XR-FRAME samples and align persistent Content to trackerSpace.
- [Credentials and keys](https://portal.01spatial.ai/ai-docs/en/reference/credentials.md): Choose and protect API, Map, and Project keys without confusing their scopes.
- [Coordinate and pose conventions](https://portal.01spatial.ai/ai-docs/en/reference/coordinate-pose.md): Interpret camera-to-map matrices, camera axes, and AR map-root alignment.
- [Errors and troubleshooting](https://portal.01spatial.ai/ai-docs/en/reference/troubleshooting.md): Isolate upload, mapping, localization, and AR alignment failures systematically.

## 简体中文 (zh-Hans)

> Publication status: published.

- [快速开始](https://portal.01spatial.cn/ai-docs/zh-Hans/overview.md): 快速了解 01Spatial 能用来做什么? 能解决什么问题? 能带来什么价值?
- [它是如何工作的？](https://portal.01spatial.cn/ai-docs/zh-Hans/concepts/platform-workflow.md): 理解一张空间地图如何通过两类产品角色服务人类、机器人与空间运营方。
- [写给 AR 开发者](https://portal.01spatial.cn/ai-docs/zh-Hans/concepts/for-ar-developers.md): 理解 AR 项目尺度、SLAM 与 VPS 协同、跨光照定位和可运营内容。
- [写给机器人开发者](https://portal.01spatial.cn/ai-docs/zh-Hans/concepts/for-robotics-developers.md): 将视觉定位、轨迹分析与私有化部署接入机器人系统。
- [使用普通相机进行空间扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/standard-camera-video/capture.md): 使用普通相机视频扫描空间，并保证建图所需的覆盖范围与画面质量。
- [配置普通相机扫描数据](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/standard-camera-video/map-configurator.md): 使用视频画面定义地图原点、大小与方向，并按需加强区域连接。
- [使用普通相机视频建图](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/standard-camera-video/build.md): 使用普通相机视频启动云端建图，并在发布前验证地图。
- [使用全景相机进行空间扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/panorama-camera-video/capture.md): 规划闭环路线、稳定记录全景覆盖，并导出可用于建图的 2:1 视频。
- [使用 01Spatial 空间基准板](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/panorama-camera-video/spatial-reference-board.md): 选择 0–10 张可打印空间基准板，为地图建立可验证的真实大小、原点与方向。
- [配置扫描数据](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/panorama-camera-video/map-configurator.md): 使用 GCP 定义真实大小与世界坐标，并按需增强跨区域连接与距离约束。
- [使用全景视频建图](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/panorama-camera-video/build.md): 启动云端建图、理解地图状态，并在发布前完成定位验收。
- [使用 Polycam 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/mobile-3d-scanning/polycam.md): 使用 Polycam 扫描空间，导出完整 Raw Data 数据包并上传至 01Spatial。
- [使用 KIRI Engine 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/mobile-3d-scanning/kiri-engine.md): 使用 KIRI Engine 完成 LiDAR Scene Scan，导出完整 Raw Data 数据包并上传至 01Spatial。
- [LiDAR 扫描概述](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar.md): 了解为什么专业 LiDAR 实景三维扫描是最推荐的输入，以及如何准备数据。
- [使用 Matterport 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/matterport.md): 准备自包含 Matterport E57，上传并验收生成的地图。
- [使用 FARO 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/faro.md): 打包完成注册的 FARO 扫描站 E57，并构建一张连通地图。
- [使用 NavVis 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/navvis.md): 连续采集 NavVis 路线并上传包含图像与点云的 E57。
- [使用 Leica RTC 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/leica-rtc.md): 导出包含扫描站图像与三维数据的已注册 Leica E57 进行建图。
- [使用 Hexagon RealSLAM 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/hexagon-realslam.md): 准备连续 RealSLAM 扫描并上传完整 E57。
- [使用 XGRIDS 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/xgrids.md): 上传包含球面图像、位姿和点云的 XGRIDS E57。
- [使用 FJD 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/fjd.md): 将 FJD 全景图、位姿 CSV 和可选 E57 打包为一个可校验输入。
- [使用 CHCNAV 扫描](https://portal.01spatial.cn/ai-docs/zh-Hans/mapping/lidar/chcnav.md): 把 CHCNAV 全景图与文本位姿表和可选 LAS 点云正确匹配。
- [管理地图](https://portal.01spatial.cn/ai-docs/zh-Hans/maps/manage.md): 新建地图，理解地图卡片的每种状态与操作，并安全使用 Move 和 Transfer。
- [探索地图](https://portal.01spatial.cn/ai-docs/zh-Hans/maps/explore.md): 使用 Space Studio 的 Map Panel 检查点云、Mesh、原点和建图相机。
- [添加内容](https://portal.01spatial.cn/ai-docs/zh-Hans/maps/add-content.md): 在地图坐标中放置、组织并保存模型、几何、灯光和标注。
- [使用 Space Studio 执行定位测试](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/space-studio-test.md): 在接入客户端之前，使用代表性图片验证已就绪地图。
- [在 Android 设备开启 AR](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/launch-ar/android-webxr.md): 通过 Chrome WebXR 和 ARCore 打开地图及其 Content。
- [在 iOS 设备开启 AR](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/launch-ar/ios-app-clip.md): 通过 Space Studio 二维码启动使用 ARKit 的 App Clip。
- [在微信小程序开启 AR](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/launch-ar/wechat-mini-program.md): 通过服务器生成的微信小程序码打开地图 AR 体验。
- [定位 API 与 AR 集成](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/localization-api.md): 发送同步相机数据、读取返回位姿，并对齐 AR 内容。
- [Unity 模板](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/templates/unity.md): 把同步的 AR Foundation 相机采样接入 01Spatial，并对齐地图根节点。
- [微信小程序模板](https://portal.01spatial.cn/ai-docs/zh-Hans/localization/templates/wechat-mini-program.md): 使用同步 XR-FRAME 采样，把持久 Content 对齐到 trackerSpace。
- [凭证与 Key](https://portal.01spatial.cn/ai-docs/zh-Hans/reference/credentials.md): 正确选择并保护 API、Map 与 Project Key，避免混淆作用范围。
- [坐标系与位姿约定](https://portal.01spatial.cn/ai-docs/zh-Hans/reference/coordinate-pose.md): 理解相机到地图矩阵、相机轴和 AR 地图根节点对齐。
- [错误与故障排查](https://portal.01spatial.cn/ai-docs/zh-Hans/reference/troubleshooting.md): 系统定位上传、建图、定位请求和 AR 对齐问题。

## Additional resources

- [Structured documentation manifest](/docs-manifest.json)
- [Complete multilingual documentation](/llms-full.txt)
- [XML sitemap](/sitemap.xml)
- [OpenAPI schema](/openapi.json)
- [Interactive API reference](/docs)