Robustness-aware 3d object detection in autonomous driving: A review and outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
[HTML][HTML] 3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion
The high-precision generation of 3D building models is a controversial research topic in the
field of smart cities. However, due to the limitations of single-source data, existing methods …
field of smart cities. However, due to the limitations of single-source data, existing methods …
[HTML][HTML] LEARD-Net: Semantic segmentation for large-scale point cloud scene
Given the prominence of 3D sensors in recent years, 3D point cloud scene data are worthy
to be further investigated. Point cloud scene understanding is a challenging task because of …
to be further investigated. Point cloud scene understanding is a challenging task because of …
Deep learning network for indoor point cloud semantic segmentation with transferability
Semantic segmentation is crucial for interpreting point cloud data and plays a fundamental
role in automating the creation of as-built BIM. Existing neural network models for semantic …
role in automating the creation of as-built BIM. Existing neural network models for semantic …
Semantic segmentation for large-scale point clouds based on hybrid attention and dynamic fusion
C Zhou, Z Shu, L Shi, Q Ling - Pattern Recognition, 2024 - Elsevier
This paper investigates the semantic segmentation problem for large-scale point clouds.
Recent segmentation methods usually employ an encoder–decoder architecture. However …
Recent segmentation methods usually employ an encoder–decoder architecture. However …
Building façade style classification from UAV imagery using a Pareto-optimized deep learning network
R Maskeliūnas, A Katkevičius, D Plonis, T Sledevič… - Electronics, 2022 - mdpi.com
The article focuses on utilizing unmanned aerial vehicles (UAV) to capture and classify
building façades of various forms of cultural sites and structures. We propose a Pareto …
building façades of various forms of cultural sites and structures. We propose a Pareto …
Large-scale point cloud semantic segmentation via local perception and global descriptor vector
Large-scale point cloud semantic segmentation is a critical aspect of environmental
information perception, with far-reaching applications in domains such as auto-driving …
information perception, with far-reaching applications in domains such as auto-driving …
Uncertainty-guided contrastive learning for weakly supervised point cloud segmentation
Three-dimensional point cloud data are widely used in many fields, as they can be easily
obtained and contain rich semantic information. Recently, weakly supervised segmentation …
obtained and contain rich semantic information. Recently, weakly supervised segmentation …
A review on artificial intelligence applications for facades
This review applies a transformer-based topic model to reveal trends and relationships in
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet)
Deep learning-based point cloud semantic segmentation facilitates scene understanding
and BIM modelling, but its success requires vast amount of labelled point clouds, which is …
and BIM modelling, but its success requires vast amount of labelled point clouds, which is …