Gaussian splatting is a technique for turning ordinary photos or video of a real scene into a photorealistic 3D scene that renders in real time. Instead of a polygon mesh, the scene is represented as millions of small, soft, overlapping 3D blobs (Gaussians), each with a position, shape, color and opacity, which are optimized until renders match the original photographs. Radiance fields are a Laan Labs specialty: it builds Gaussian splatting tools such as 3D Splat App, uses splats in RadianceView, and offers Gaussian splatting services. There is a plain-language primer at What Is Gaussian Splatting?
All three reconstruct 3D from photographs. Photogrammetry produces a textured polygon mesh, which is editable and measurable but struggles with reflective, thin or finely detailed surfaces. Neural radiance fields (NeRFs) render very realistic novel views, but early versions were slow to train and even the fast variants are demanding to display. Gaussian splatting matches NeRF image quality while rendering in real time, which makes it practical for interactive viewers, inspection and web delivery. Laan Labs compared these approaches on real assets in its InfraTech 3D scanning case study.
Mobile LiDAR scanning uses the LiDAR sensor built into iPhone Pro and iPad Pro models to capture rooms, buildings and large objects as 3D meshes and point clouds in minutes, with no extra hardware. It is well suited to room-scale measurement, documentation, floor plans and visualization, with accuracy typically in the centimeter range under good conditions; it is not a replacement for survey-grade instruments where millimeter precision is required. Laan Labs pioneered this workflow with 3D Scanner App and continues it in OpenSurvey3D and RadianceView. See how mobile LiDAR is redefining professional 3D workflows.
Yes. Laan Labs built a volume measurement tool into its mobile LiDAR scanning pipeline: the operator walks around a pile of gravel, dirt, sand, mulch or other bulk material with an iPhone Pro or iPad Pro, outlines the base of the pile on the scan, and reads the volume in cubic meters, cubic yards and cubic feet. The same tool measures a hole or trench to give the fill required. Tonnage follows from a density factor per material. Phone LiDAR suits piles up to a few truckloads; larger piles and whole yards are captured with photogrammetry or a drone and measured the same way. See the stockpile volume measurement case study.
Yes. Laan Labs built a job estimating app for outdoor work on its own scanning pipeline: an operator scans the work area with an iPhone, and the app measures the quantities that drive the job, such as the volume of a stump above grade, the area and depth of a bed, cut and fill for grading, and lengths of trench or edging. Guided questions capture what a scan cannot see, such as species, condition, access, slope and utilities, and an estimating model turns quantities and conditions into hours, materials to order and a customer-ready quote. The app is available to partners under license rather than in a public app store. See the job estimating app case study.
TrueDepth scanning uses the infrared depth sensor on the front of the iPhone, the same sensor used for Face ID, to capture small objects and body parts in fine detail at close range. Because it works entirely on the device, it suits applications where photos cannot be sent to a cloud reconstruction service, such as medical and custom-fit products. Laan Labs has licensed TrueDepth scanning pipelines to organizations that need precise small-scale scans; see the TrueDepth scanning case study.
RoomPlan is an Apple framework that uses the iPhone and iPad LiDAR sensor to produce a parametric model of a room: walls, doors, windows and furniture as labeled geometry rather than a raw mesh. Laan Labs builds on RoomPlan for floor plan extraction and semantic scene understanding, and its open-source OpenPlan3D floor plan editor imports RoomPlan scans directly. See the blog post on semantic geometry with RoomPlan.
RadianceView is an inspection-grade visualization platform built by Laan Labs. It brings mobile 3D scans, traditional LiDAR, Gaussian splats and high-resolution photography together into a single visual record that opens in a web browser, so teams can inspect, measure and report on an asset without being on site, with every finding tied to the place it was observed. It has been used to document end-of-life airliners for parts reuse; see the aircraft documentation case study.