Add to ORKGConstruction site planning is based on both explicit knowledge, as retrieved from regulations, and implicit knowledge, arising from experience. To retrieve and formalize rules from implicit knowledge, past construction projects can be analyzed. In this paper, we present an image analysis pipeline to retrieve information on past construction sites from airborne images. We fuse machine learning based image analysis with georeferencing and openly available geospatial data to retrieve a detailed description with true dimensions of the construction site at hand
Rehabilitation of buildings often requires analysing the scene and measuring the dimension of differ...
Abstract. Laser scanner data are a powerful data source for acquisition and update of high resolutio...
Compared with construction data sources that are usually stored and analyzed in spreadsheets and sin...
Construction site planning is based on both explicit knowledge, as retrieved from regulations, and i...
This book explores the processes for retrieval, classification, and integration of construction imag...
Adherence to project schedules and budgets is the most highly valued performance metric among projec...
Using deep learning to recover depth information from a single image has been studied in many situat...
In the modern and dynamic construction environment it is important to access information in a fast a...
This paper presents research that is evaluating the capability of a georeferencing based automated f...
The amount of original imaging information produced yearly during the last decade has experienced a ...
We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image ...
The Architecture, Engineering, Construction and Facilities Management (AEC/FM) industry is rapidly b...
The capability to automatically identify shapes, objects and materials from the image content throug...
This paper examines how far we are towards automatic extraction of building features, by comparing t...
Construction site monitoring and progress monitoring is becoming increasingly popular in the archite...
Rehabilitation of buildings often requires analysing the scene and measuring the dimension of differ...
Abstract. Laser scanner data are a powerful data source for acquisition and update of high resolutio...
Compared with construction data sources that are usually stored and analyzed in spreadsheets and sin...
Construction site planning is based on both explicit knowledge, as retrieved from regulations, and i...
This book explores the processes for retrieval, classification, and integration of construction imag...
Adherence to project schedules and budgets is the most highly valued performance metric among projec...
Using deep learning to recover depth information from a single image has been studied in many situat...
In the modern and dynamic construction environment it is important to access information in a fast a...
This paper presents research that is evaluating the capability of a georeferencing based automated f...
The amount of original imaging information produced yearly during the last decade has experienced a ...
We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image ...
The Architecture, Engineering, Construction and Facilities Management (AEC/FM) industry is rapidly b...
The capability to automatically identify shapes, objects and materials from the image content throug...
This paper examines how far we are towards automatic extraction of building features, by comparing t...
Construction site monitoring and progress monitoring is becoming increasingly popular in the archite...
Rehabilitation of buildings often requires analysing the scene and measuring the dimension of differ...
Abstract. Laser scanner data are a powerful data source for acquisition and update of high resolutio...
Compared with construction data sources that are usually stored and analyzed in spreadsheets and sin...