Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust
estimation method for the parameters of a model contaminated by a sizable percentage of …

This study tested whether machine learning (ML) methods can effectively separate
individual plants from complex 3D canopy laser scans as a prerequisite to analyzing …

The structure of industrial components is diversified, and extensive efforts have been
exerted to improve automation, accuracy, and completeness of feature surfaces extracted …

Building reconstruction using high-resolution satellite-based synthetic SAR tomography
(TomoSAR) is of great importance in urban planning and city modeling applications …

In today's rapidly urbanizing world, accurate 3D city models are crucial for sustainable urban
management. The existing technology for 3D city modeling still relies on an extensive …

In diesem Kapitel werden die theoretischen Grundlagen für die spätere Entwicklung und
Umsetzung einer vollautomatischen, Deep Learning unterstützten Prozesskette …

In recent years, riding e-scooters as a hobby has evolved into one of the popular forms of
transportation in our city traffic. As it is becoming increasingly popular, micromobility-related …

LiDARs and cameras are two widely used sensors in robotics and computer vision,
particularly for navigation and recognition in 3D scenarios. Systems combining both may …

In modern industry, multi-sensor metrology methods are increasingly applied for fast and
accurate 3D data acquisition. These method typically start with fast initial digitization by an …

The digital documentation of Architectural Heritage has assumed a fundamental role for its
preservation, enhancement, and protection from institutional neglect or physical-material …