Company

Founded in 2020, LiDARist's core business is to provide deep learning-based point cloud post-processing services, with a specific emphasis towards underground utility systems. To cope with the demanding underground utility data and the future 3D underground map, LiDARist is now developing a fully automatic approach that maximises the benefits of as-built 3D modelling from point clouds. Specifically, we are constructing a unique neural network for 3D point cloud semantic segmentation of underground utilities. In addition, with various model-fitting and topological algorithms, the segmented point clouds will be converted into 3D models and a sequential pipeline. Ultimately, the approach will be constructed in the form of SaaS which aims to provide an automatic data processing chain to generate as-built 3D BIM of underground utilities so as to embrace the up-and-coming development of 3D underground maps.

Description

Utilising deep learning in three dimensions, LiDARist has been a robust decoder of point cloud data

Our Believes

broad mind, vast sight
LiDARist provides AI-powered point cloud post-processing services to point cloud data users, particularly on underground utility data. Through developing a unique neural network for 3D point clouds, semantic segmentation of specific objects (i.e., pipes, pipe fittings, valves, etc.) will be performed on each specific dataset. Followed by model fitting and topological sequencing, the segmented point clouds will undergo data conversion and transformation into 3D GIS pipeline data or BIM format files. The whole approach or services can be offered on cloud platforms or through software as a service (SaaS) for users’ subscription.