Which „Trackable“ in ARFoundation represents the LiDAR Mesh? Is it TrackableType.Depth? Is it TrackableType. Feature points, Planes, Images, Faces …).

I don’t see why ARFoundation (or ARKit) wouldn’t use the sensors, if they are available.Īlso basically everything in ARFoundation, that is located and tracked in 3d Space is represented by a „Trackable“ (eg. However LiDAR devices might generate featurepoints even there. Along the way my goal was to play with different parts of the technology: Swift, ARKit, 3D Models, Unity, Quest/XR APIs.

For instance, with a feature known as person occlusion, iOS devices with the A12 Bionic chip (and newer) provide depth information for humans detected in the AR Camera frame. Regular visual feature tracking algorithms are unable to detect any features in that scenario. Some devices offer depth information about the real world. We have expanded AR Foundation to add these new features from ARKit 3. With GIS Terrain Loader you can: - Import Digital Terrain Model (DTM) data to create accurate Landscapes. Is my observation correct? If so, why would ARFoundation not integration LiDAR data? Is it not yet implemented due to differences between ARCore and ARKit, or does even ARKit not use LiDAR Data for feature tracking?Ī usecase for factoring in LiDAR data is for example when the device looks at a white wall or similiar homogenous area. The new Apple iPad Pro comes equipped with a LiDAR scanner that provides enhanced scene understanding and real-world depth information to bring a new level of realism to augmented reality (AR) experiences. GIS Terrain Loader create terrains basing on loading (Raster-Vector-DEM) data that makes importing and modifying large quantities of data fast and easy. That’s indicating to me, that the feature point detection algorithm does not factor in LiDAR data at all. However, when I build a simple ARFoundation FeaturePointCloud Visualizer Scene, iPhone XS and iPad Pro (with LiDAR) generate the exact same feature points.

In that sense, LiDAR is just one more sensor in the array of available sensors that might be factored in for the slam algorithm. TLDR: When using LiDAR iPhone or iPad, is the sensor input from LiDAR factored in when generating feature points? Which „Trackable“ in ARFoundation represents the LiDAR Mesh? Is it TrackableType.Depth? Is it TrackableType.Face? ( differently: ARKit and ARCore use some form of feature tracking algorithm, for that they mostly use visual clues but also probably weigh in other sensors like gyro.

Unity lidar