LiDARDataCapture

This app is a data capture tool for researchers and engineers working with 3D Gaussian Splatting (3DGS), NeRF, SLAM, and point cloud reconstruction. REQUIRES A DEVICE WITH LiDAR SCANNER This app requires an iPhone or iPad equipped with a LiDAR scanner. Compatible devices include iPhone 12 Pro and later Pro models, and iPad Pro models with LiDAR. The app will not function on devices without a LiDAR sensor. DATA CAPTURE ONLY — NOT A 3D RECONSTRUCTION APP This app does not perform 3D Gaussian Splatting generation, NeRF training, detailed point cloud creation, or SLAM processing. Transfer captured data to a computer and process it with external software such as NerfStudio, COLMAP, or other tools. Captures precisely synchronized sensor data from the LiDAR scanner, camera, and IMU on a per-frame basis, and exports it in formats ready for downstream 3D reconstruction pipelines. [Synchronized Per-Frame Data] RGB color images (selectable from 640x480 to 1920x1440) LiDAR depth maps (256x192, 16-bit, 0.1 mm resolution) Depth confidence maps (256x192, low:0, medium:1, high:2) Camera intrinsics (scaled to selected resolution) 6DoF camera pose (4x4 transform matrix, quaternion, Euler angles) IMU data (accelerometer & gyroscope) Magnetic heading & calibration status Exposure metadata ARKit tracking quality [Export Formats] Per-frame JSON (full sensor metadata) Session JSON NerfStudio-compatible transforms.json (OPENCV camera model) — ready for ns-train Binary PLY mesh (ARKit Scene Reconstruction) Split ZIP export [Key Features] Selectable capture rate: 5 / 10 / 15 / 20 / 25 / 30 fps Real-time AR mesh overlay during scanning Automatic safe stop when free storage falls below 1 GB Orientation lock during capture Session management with thumbnails