|
|
|
|
|
Zongshun Wang, Ce Li, Jialin Ma, Zhiqiang Feng and Limei Xiao
In this study, we introduce a novel framework for the semantic segmentation of point clouds in autonomous driving scenarios, termed PVI-Net. This framework uniquely integrates three different data perspectives?point clouds, voxels, and distance maps?exec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinyue Lan, Liyue Wang, Cong Wang, Gang Sun, Jinzhang Feng and Miao Zhang
In this research, we introduce a deep-learning-based framework designed for the prediction of transonic flow through a linear cascade utilizing large-scale point-cloud data. In our experimental cases, the predictions demonstrate a nearly four-fold speed ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maciej Wardach, Joanna Agnieszka Pawlowicz, Marta Kosior-Kazberuk and Janusz Ryszard Krentowski
Technological developments involving the implementation of modern measuring equipment and the digitalisation of civil engineering can contribute to extending the service life of buildings. Large-panel buildings constitute a large housing stock throughout...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Li, Yipu Peng, Zhiyuan Tang and Zichao Li
To address the incomplete image data collection of close-to-ground structures, such as bridge piers and local features like the suspension cables in bridges, obtained from single unmanned aerial vehicle (UAV) oblique photography and the difficulty in acq...
ver más
|
|
|
|
|
|
|
|
|
|
|
Robert ?upan, Adam Vinkovic, Rexhep Nikçi and Bernarda Pinjatela
This research is primarily focused on utilizing available airborne LiDAR data and spatial data from the OpenStreetMap (OSM) database to generate 3D models of buildings for a large-scale urban area. The city center of Ljubljana, Slovenia, was selected for...
ver más
|
|
|
|
|
|
|
|
|
|
|
Markus Schwegler, Christoph Müller and Alexander Reiterer
Integrated gradients is an explainable AI technique that aims to explain the relationship between a model?s predictions in terms of its features. Adapting this technique to point clouds and semantic segmentation models allows a class-wise attribution of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ronghua Xu, Yu Chen, Genshe Chen and Erik Blasch
The rapid development of three-dimensional (3D) acquisition technology based on 3D sensors provides a large volume of data, which are often represented in the form of point clouds. Point cloud representation can preserve the original geometric informatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maria Melina Dolapsaki and Andreas Georgopoulos
This paper presents an effective and semi-automated method for detecting 3D edges in 3D point clouds with the help of high-resolution digital images. The effort aims to contribute towards addressing the unsolved problem of automated production of vector ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Agnieszka Ozimek, Pawel Ozimek, Krzysztof Skabek and Piotr Labedz
Data concerning heritage buildings are necessary for all kinds of building surveying and design. This paper presents a method for creating a precise model of a historical architectural and landscape object with complex geometry. Photogrammetric technique...
ver más
|
|
|
|
|
|
|
|
|
|
|
Felix Witt, Javis Nwaboh, Henning Bohlius, Astrid Lampert and Volker Ebert
Water vapor fluxes play a key role in the energy budget of the atmosphere, and better flux measurements are needed to improve our understanding of the formation of clouds and storms. Large-scale measurements of these fluxes are possible by employing the ...
ver más
|
|
|
|
|
|