Colloquium on Change Analysis of Hypertemporal Terrestrial Laser Scanning Point Clouds

We cordially invite everybody interested to our next open GIScience colloquium talk

The speaker is Evelyn Schmitz
Master student, FARO Europe GmbH & Co. KG, Korntal-Münchingen

When: Monday 30.04.2018, 2:15 pm

Where: INF 348, room 015 (Institute of Geography, Heidelberg University)

Voxel-based change analysis of hypertemporal terrestrial laser scanning point clouds of the research campus ARENA2036 including factory interior for the development of a digital twin

Raw point clouds are unstructured aggregations of measured xyz-coordinates. While it is easy for humans to detect and interpret parts of these aggregations, algorithms struggle with the correct detection and identification of objects. A solution is the selection of information given by the points of hypertemporal data acquisitions to enlarge the smartness of point clouds and their application fields, using the advantages of a fourth dimension, i.e. time. The digital shadow aims at the creation of a permanent, actual and accurate image of relevant data in the field of production. Simple and fast algorithms in combination with data from the past and present are required to develop agile, self-optimizing factories, decreasing costs by increasing production efficiency at high quality. An approach for the identification of the changed geo-location of single objects, e.g. robots, racks and trolleys, in a fabric coordinate system between several time steps is presented. Hypertemporal data were acquired at the research campus ARENA2036 with a FARO Focus S 350 laser scanner. After the application of an automated rough filtering of stable objects, a voxel-based change detection algorithm compares properties of corresponding voxels based on their constituting points. The method delivers a first step for the realization of the digital shadow in a factory hall.