9 citations · 11 across the 4 of their papers we have counts for
5 papers
Airport Digital Twins for Resilient Disaster Management Response
Eva Agapaki
Airports are constantly facing a variety of hazards and threats from natural disasters to cybersecurity attacks and airport stakeholders are confronted with making operational deci…
Synthetic Point Cloud Generation for Class Segmentation Applications
Maria Gonzalez Stefanelli, Avi Rajesh Jain, Sandeep Kamal Jalui +1
Maintenance of industrial facilities is a growing hazard due to the cumbersome process needed to identify infrastructure degradation. Digital Twins have the potential to improve ma…
Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes
Eva Agapaki, Ioannis Brilakis
This paper devises, implements and benchmarks a novel shape retrieval method that can accurately match individual labelled point clusters (instances) of existing industrial facilit…
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
Eva Agapaki, Ioannis Brilakis
This paper devises, implements and benchmarks a novel framework, named CLOI, that can accurately generate individual labelled point clusters of the most important shapes of existin…
Instance Segmentation of Industrial Point Cloud Data
Eva Agapaki, Ioannis Brilakis
The challenge that this paper addresses is how to efficiently minimize the cost and manual labour for automatically generating object oriented geometric Digital Twins (gDTs) of ind…