Review the state-of-the-art technologies of semantic segmentation based on deep learning
The goal of semantic segmentation is to segment the input image according to semantic
information and predict the semantic category of each pixel from a given label set. With the …
information and predict the semantic category of each pixel from a given label set. With the …
Deep learning for lidar point clouds in autonomous driving: A review
Recently, the advancement of deep learning (DL) in discriminative feature learning from 3-D
LiDAR data has led to rapid development in the field of autonomous driving. However …
LiDAR data has led to rapid development in the field of autonomous driving. However …
Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives
It is estimated that EU cultural heritage (CH) buildings represent 30% of the total existing
stock. Nevertheless, all actions in terms of refurbishment need a deep knowledge based on …
stock. Nevertheless, all actions in terms of refurbishment need a deep knowledge based on …
Construction 4.0
With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …
technologies, and offsite construction, the industry is at the cusp of this transformation. The …
Performance and challenges of 3D object detection methods in complex scenes for autonomous driving
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …
essential for autonomous driving (AD) environment perception. While, until now, most of the …
Review of the current state of UAV regulations
UAVs—unmanned aerial vehicles—facilitate data acquisition at temporal and spatial scales
that still remain unachievable for traditional remote sensing platforms. However, current …
that still remain unachievable for traditional remote sensing platforms. However, current …
Review of built heritage modelling: Integration of HBIM and other information techniques
Built heritage documentation involves the 3D modelling of the geometry (typically using 3D
computer graphics, photogrammetry and laser scanning techniques) and information …
computer graphics, photogrammetry and laser scanning techniques) and information …
Toronto-3D: A large-scale mobile LiDAR dataset for semantic segmentation of urban roadways
Semantic segmentation of large-scale outdoor point clouds is essential for urban scene
understanding in various applications, especially autonomous driving and urban high …
understanding in various applications, especially autonomous driving and urban high …
[HTML][HTML] Unmanned aerial systems for photogrammetry and remote sensing: A review
I Colomina, P Molina - ISPRS Journal of photogrammetry and remote …, 2014 - Elsevier
We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS)
in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial …
in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial …
A review of mobile mapping systems: From sensors to applications
M Elhashash, H Albanwan, R Qin - Sensors, 2022 - mdpi.com
The evolution of mobile mapping systems (MMSs) has gained more attention in the past few
decades. MMSs have been widely used to provide valuable assets in different applications …
decades. MMSs have been widely used to provide valuable assets in different applications …