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[M] Point Cloud Classification using Context based Feature Engineering

Master Assignment

point cloud classification using context based feature engineering

Student project on bat sound analysis

Type: Master EE/CS

Practical information

Student: (Unassigned)

If you are interested please contact :

Jeroen Linssen (Saxion)

Description:

Digitalization of rail-road infrastructure is aimed at the improvement of maintenance and construction activities. Currently, inspections are done manually, with a domain expert classifying objects.

Strukton Rail works with point clouds, which are sets of spatial data points captured by 3D scanning techniques such as lidar. These point clouds contain many million points of data, resulting in 3D representations of the railway environment. Point cloud data can be used to create machine learning models that can classify the object in rail infrastructure automatically. The task involves feature engineering counting to various aspects of points data.

Objective:

In this project, the aim is to investigate feature engineering techniques and their automation to develop models for an automatic classification of point cloud data.