• Vrije Universiteit Amsterdam,
• Gemeente Amsterdam Cluster Digitalisering, Innovatie en Informatie

• By students,
• Academic,
• Methodology,
• Data,
• Quantitative

• Public space

MSc Thesis - VU - Overhead Cable and Streetlight Detection in Urban Point Clouds

Master Thesis by Falke Boskaljon

One of a municipality’s responsibilities is to regularly monitor suspended streetlights and cables for a safe and reliable environment. Mobile laser scanned 3D point clouds offer a great potential for creating high-precision digital representations of assets in street scenes. The goal of this thesis is to develop a computationally efficient and reliable pipeline that automatically detects suspended streetlights in urban scene point clouds.

In this thesis, we discuss the relevance of the problem to the municipality, review related work in object extraction from point clouds, present and describe our four-staged pipeline for the extraction of suspended streetlights and cables, and provide an extensive evaluation in terms of performance and applicability.

This research provides four contributions to the field of point cloud processing: a robust cable extraction algorithm. Second, a cable type classifier, an algorithm that can detect cable attachments, and a labelled training dataset for supervised machine learning models.

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