Robustness-aware 3d object detection in autonomous driving: A review and outlook

Z Song, L Liu, F Jia, Y Luo, C Jia… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In the realm of modern autonomous driving, the perception system is indispensable for
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

W Liu, Y Zang, Z Xiong, X Bian, C Wen, X Lu… - International Journal of …, 2023 - Elsevier
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 …

[HTML][HTML] LEARD-Net: Semantic segmentation for large-scale point cloud scene

Z Zeng, Y Xu, Z Xie, W Tang, J Wan, W Wu - International Journal of Applied …, 2022 - Elsevier
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 …

Deep learning network for indoor point cloud semantic segmentation with transferability

L Li, J Chen, X Su, H Han, C Fan - Automation in Construction, 2024 - Elsevier
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 …

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 …

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 …

Large-scale point cloud semantic segmentation via local perception and global descriptor vector

Z Zeng, Y Xu, Z Xie, W Tang, J Wan, W Wu - Expert Systems with …, 2024 - Elsevier
Large-scale point cloud semantic segmentation is a critical aspect of environmental
information perception, with far-reaching applications in domains such as auto-driving …

Uncertainty-guided contrastive learning for weakly supervised point cloud segmentation

B Yao, L Dong, X Qiu, K Song, D Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

A review on artificial intelligence applications for facades

A Duran, C Waibel, V Piccioni, B Bickel… - Building and …, 2024 - Elsevier
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 …

Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet)

D Hu, VJL Gan, R Zhai - Automation in Construction, 2024 - Elsevier
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 …