Automated construction progress measurement using a 4D building information model and 3D data
Accurate construction progress measurement has been shown to be critical to the success of
a building project. However, the methods of automated construction progress measurement …
a building project. However, the methods of automated construction progress measurement …
Semantic as-built 3D modeling of structural elements of buildings based on local concavity and convexity
H Son, C Kim - Advanced Engineering Informatics, 2017 - Elsevier
The aim of this study is to propose a method for generating as-built BIMs from laser-scan
data obtained during the construction phase, particularly during ongoing structural works …
data obtained during the construction phase, particularly during ongoing structural works …
Automatic room segmentation of 3D laser data using morphological processing
In this paper, we introduce an automatic room segmentation approach based on
morphological processing. The inputs are registered point-clouds obtained from either a …
morphological processing. The inputs are registered point-clouds obtained from either a …
Construction of indoor obstacle element map based on scene-aware priori obstacle rules
An obstacle element map is the basis of indoor navigation space subdivision. Effective and
reasonable indoor space subdivision can improve the fineness of indoor navigation path …
reasonable indoor space subdivision can improve the fineness of indoor navigation path …
Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders
This paper presents an approach to categorize typical places in indoor environments using
3D scans provided by a laser range finder. Examples of such places are offices …
3D scans provided by a laser range finder. Examples of such places are offices …
Towards generalization of semi-supervised place classification over generalized Voronoi graph
With the progress of human–robot interaction (HRI), the ability of a robot to perform high-
level tasks in complex environments is fast becoming an essential requirement. To this end …
level tasks in complex environments is fast becoming an essential requirement. To this end …
Local n-ary patterns: a local multi-modal descriptor for place categorization
This paper presents an effective integration method of multiple modalities such as depth,
color, and reflectance for place categorization. To achieve better performance with …
color, and reflectance for place categorization. To achieve better performance with …
A supervised learning approach for fast object recognition from RGB-D data
D Paulk, V Metsis, C McMurrough… - Proceedings of the 7th …, 2014 - dl.acm.org
Object recognition serves obvious purposes in assisted living environments, where robotic
devices can be used as companions to assist humans in need. The recent introduction of …
devices can be used as companions to assist humans in need. The recent introduction of …
[HTML][HTML] 3d semantic modeling of indoor environments based on point clouds and contextual relationships
A Quijano, F Prieto - Ingeniería, 2016 - scielo.org.co
Abstract QUIJANO, Angie and PRIETO, Flavio. 3D Semantic Modeling of Indoor
Environments based on Point Clouds and Contextual Relationships. ing.[online]. 2016, vol …
Environments based on Point Clouds and Contextual Relationships. ing.[online]. 2016, vol …
Indoor place categorization using co-occurrences of LBPs in gray and depth images from RGB-D sensors
Indoor place categorization is an important capability for service robots working and
interacting in human environments. This paper presents a new place categorization method …
interacting in human environments. This paper presents a new place categorization method …