Generation of data in the construction industry is increasing exponentially, becoming bigger
and varied due to the use of sophisticated devices. This is necessitated by the call for …

Smart cities use digital technologies such as cloud computing, Internet of Things, or open
data in order to overcome limitations of traditional representation and exchange of …

Advances in the development of Earth observation data acquisition systems have led to the
continuously growing production of remote sensing datasets, for which timely analysis has …

Big data application is a significant transformative driver of change in the retail, health,
engineering, and advanced manufacturing sectors. Big data studies in construction are still …

Modern geoinformation technologies for collecting and processing data, such as laser
scanning or photogrammetry, can generate point clouds with billions of points. They provide …

In this paper we present a flexible framework for creating spatial data structures to manage
LiDAR point clouds in the context of spatial big data. For this purpose, standard approaches …

The number of devices equipped with GPS sensors has increased enormously, which
generates a massive amount of data. To analyse this huge data for various applications is …

The widespread use of LiDAR technology in a multitude of domains has produced a growing
availability of massive high-resolution point datasets that demand new approaches for …

Big Data is a sparkling topic with plenty of scope for research. With the advent of social
media, the data has started to cross the limits of a system, server and even a data center. On …

In the rapidly advancing fields of autonomous driving, advanced driver assistance systems
(ADAS), and intelligent transportation systems (ITS), the use of light detection and ranging …