Digital building representations enable and promote new forms of simulation, automation,
and information sharing. However, creating and maintaining these representations is …

In this paper, we propose a method for semantic parsing the 3D point cloud of an entire
building using a hierarchical approach: first, the raw data is parsed into semantically …

With the proliferation of acquisition devices, gathering massive volumes of 3D data is now
easy. Processing such large masses of pointclouds, however, remains a challenge. This is …

In this paper, a robust RGB-D SLAM system is proposed to utilize the structural information
in indoor scenes, allowing for accurate tracking and efficient dense map** on a CPU. Prior …

To address the need for a shift from a linear to a circular economy in the built environment,
this paper develops a semi-automated assistive process for planning building material …

Due to constraints in manufacturing and construction, buildings and many of the manmade
objects within them are often rectangular and composed of planar parts. Detection and …

Visual Simultaneous Localization and Map** (VSLAM), which serves as the primary
technique for locating autonomous vehicles, has gained tremendous development over the …

We propose a new formulation for including orthogonal planar features as a global model
into a linear SLAM approach based on sequential Bayesian filtering. Previous planar SLAM …

We present an algorithm for detecting planar primitives from unorganized 3D point clouds.
Departing from an initial configuration, the algorithm refines both the continuous plane …

We present an automatic approach for the task of reconstructing a 2-D floor plan from
unstructured point clouds of building interiors. Our approach emphasizes accurate and …