Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d
For the last few decades, several major subfields of artificial intelligence including computer
vision, graphics, and robotics have progressed largely independently from each other …
vision, graphics, and robotics have progressed largely independently from each other …
Detailed three-dimensional building façade reconstruction: a review on applications, data and technologies
Urban environments are regions of complex and diverse architecture. Their reconstruction
and representation as three-dimensional city models have attracted the attention of many …
and representation as three-dimensional city models have attracted the attention of many …
The fusion strategy of 2d and 3d information based on deep learning: A review
J Zhao, Y Wang, Y Cao, M Guo, X Huang, R Zhang… - Remote Sensing, 2021 - mdpi.com
Recently, researchers have realized a number of achievements involving deep-learning-
based neural networks for the tasks of segmentation and detection based on 2D images, 3D …
based neural networks for the tasks of segmentation and detection based on 2D images, 3D …
CLOI-NET: Class segmentation of industrial facilities' point cloud datasets
Shape segmentation from point cloud data is a core step of the digital twinning process for
industrial facilities. However, it is also a very labor intensive step, which counteracts the …
industrial facilities. However, it is also a very labor intensive step, which counteracts the …
3D point cloud descriptors: state-of-the-art
XF Han, ZA Feng, SJ Sun, GQ **ao - Artificial Intelligence Review, 2023 - Springer
The development of inexpensive 3D data acquisition devices has promisingly facilitated the
wide availability and popularity of point clouds, which attracts increasing attention to the …
wide availability and popularity of point clouds, which attracts increasing attention to the …
Inor-net: Incremental 3-d object recognition network for point cloud representation
3-D object recognition has successfully become an appealing research topic in the real
world. However, most existing recognition models unreasonably assume that the categories …
world. However, most existing recognition models unreasonably assume that the categories …
LiDAR intensity correction for road marking detection
X Li, Y Shang, B Hua, R Yu, Y He - Optics and Lasers in Engineering, 2023 - Elsevier
The intensity data recorded by light detection and ranging (LiDAR) contains the spectral
characteristics of a scanned target, making it an essential source of information in mobile …
characteristics of a scanned target, making it an essential source of information in mobile …
Instance segmentation of industrial point cloud data
The challenge that this paper addresses is how to efficiently minimize the cost and manual
labor for automatically generating object oriented geometric digital twins (gDTs) of industrial …
labor for automatically generating object oriented geometric digital twins (gDTs) of industrial …
L3DOC: Lifelong 3D object classification
3D object classification has been widely applied in both academic and industrial scenarios.
However, most state-of-the-art algorithms rely on a fixed object classification task set, which …
However, most state-of-the-art algorithms rely on a fixed object classification task set, which …
OpenGF: An ultra-large-scale ground filtering dataset built upon open ALS point clouds around the world
Ground filtering has remained a widely studied but incompletely resolved bottleneck for
decades in the automatic generation of high-precision digital elevation model, due to the …
decades in the automatic generation of high-precision digital elevation model, due to the …