The necessity for an accurate, precise, and quick positioning capability is growing in modern
societies. This feature is needed on the one side by actively moving objects like people …

In this paper, we present a workflow that combines supervised and unsupervised methods
for the reconstruction of geometric models with architectural information from unordered 3D …

BIM (building information modelling) has gained wider acceptance in the AEC (architecture,
engineering, and construction) industry. Conversion from 3D point cloud data to vector BIM …

One of the societal problems for current building construction projects is the lack of timely
progress monitoring and quality control, causing over-budget costs, inefficient productivity …

This paper is a preface of the ISPRS/EuroSDR Workshop on the “Evaluation and
Benchmarking of Sensors, Systems and Geospatial Data in Photogrammetry and Remote …

Room segmentation is a basic task for the semantic enrichment of point clouds. Recent
studies have mainly projected single-floor point clouds to binary images to realize two …

Many current indoor localisation approaches need an initial location at the beginning of
localisation. The existing visual approaches to indoor localisation perform a 3D …

Open science is an important attribute for developing new approaches. Especially, the data
component plays a significant role. The FAIR principle provides a good orientation towards …

LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around
them, and adding additional attributes to each point such as color, position, time, etc. LiDAR …

In this paper, we present an automated method for classification of binary voxel occupancy
grids of discretized indoor mapping data such as point clouds or triangle meshes according …