Výsledky vyhledávání - "POINT CLOUD PROCESSING"

LiDAR applications in precision agriculture for cultivating crops: A review of recent advances Autor Rivera, Gilberto, Porras, Raúl, Florencia, Rogelio, Sánchez-Solís, J. Patricia

“…In recent years, Light Detection and Ranging (LiDAR) technology has been one of the most innovative subjects in laser scanning, remote sensing, and object…”
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Automatic reconstruction of fully volumetric 3D building models from oriented point clouds Autor Ochmann, Sebastian, Vock, Richard, Klein, Reinhard

“…[Display omitted] We present a novel method for reconstructing parametric, volumetric, multi-story building models from unstructured, unfiltered indoor point…”
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PCT: Point cloud transformer Autor Guo, Meng-Hao, Cai, Jun-Xiong, Liu, Zheng-Ning, Mu, Tai-Jiang, Martin, Ralph R., Hu, Shi-Min

“…The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework…”
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Binocular video-based 3D reconstruction and length quantification of cracks in concrete structures Autor Deng, Lu, Sun, Tao, Yang, Liang, Cao, Ran

“…In the past few years, image-based methods for crack inspection have been developed to reduce the cost of the manual crack inspection. However, current…”
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Thin-Walled Aircraft Panel Edge Extraction From 3-D Measurement Surfaces via Feature-Aware Displacement Learning Autor Chen, Mengqi, Zhou, Laishui, Chen, Honghua, Wang, Jun

“…To enable the generation of reliable tool paths for precision machining along the edges of thin-walled aircraft assembly panels, we introduce a feature-aware…”
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Vision-guided path planning and joint configuration optimization for robot grinding of spatial surface weld beads via point cloud Autor Guo, Wenxing, Huang, Xiaokang, Qi, Bowen, Ren, Xukai, Chen, Huabin, Chen, Xiaoqi

“…The aerospace industry faces critical demands for automated and intelligent grinding of welds on curved surfaces. The combination of 3D vision technology and…”
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Learnable Chamfer Distance for point cloud reconstruction Autor Huang, Tianxin, Liu, Qingyao, Zhao, Xiangrui, Chen, Jun, Liu, Yong

“…As point clouds are 3D signals with permutation invariance, most existing works train their reconstruction networks by measuring shape differences with the…”
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Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management Autor Nikoohemat, Shayan, Diakité, Abdoulaye A., Zlatanova, Sisi, Vosselman, George

“…During an emergency inside large buildings such as hospitals and shopping malls, the availability of up-to-date information is critical. One common source of…”
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Automatic reconstruction of parametric building models from indoor point clouds Autor Ochmann, Sebastian, Vock, Richard, Wessel, Raoul, Klein, Reinhard

“…We present an automatic approach for the reconstruction of parametric 3D building models from indoor point clouds. While recently developed methods in this…”
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A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving Autor Alaba, Simegnew Yihunie, Ball, John E.

“…LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast decision-making when driving. The sensor is used in the perception…”
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CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets Autor Agapaki, Eva, Brilakis, Ioannis

“…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…”
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PCDNF: Revisiting Learning-Based Point Cloud Denoising via Joint Normal Filtering Autor Liu, Zheng, Zhao, Yaowu, Zhan, Sijing, Liu, Yuanyuan, Chen, Renjie, He, Ying

“…Point cloud denoising is a fundamental and challenging problem in geometry processing. Existing methods typically involve direct denoising of noisy input or…”
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Learning geometric consistency and discrepancy for category-level 6D object pose estimation from point clouds Autor Zou, Lu, Huang, Zhangjin, Gu, Naijie, Wang, Guoping

“…Category-level 6D object pose estimation aims to predict the position and orientation of unseen object instances, which is a fundamental problem in robotic…”
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MoCoPCI: Inter-frame motion correlation guided efficient 3D point cloud interpolation Autor Yang, Pengfei, Wu, Feng, Liu, Minyang, Zhong, Ting, Zhou, Fan

“…•We propose a novel motion correlation-guided framework for point cloud sequence interpolation.•The proposed method leverages explicit motion representation,…”
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Risley-prism-based multi-beam scanning LiDAR for high-resolution three-dimensional imaging Autor Li, Anhu, Liu, Xingsheng, Sun, Jianfeng, Lu, Zhiyong

“…•Coherent light detection and ranging architecture for three-dimensional imaging.•Risley-prism-based multi-beam scanning enables high-resolution spatial…”
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Refining point-cloud neighborhood construction for improved classificationGithubZenodoZenodo Autor Max Hess, Aljoscha Rheinwalt, Bodo Bookhagen

“…3D point clouds enable us to capture the structure of our environment in high detail. In the context of urban areas, point clouds allow us to segment single…”
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Robust statistical approaches for circle fitting in laser scanning three-dimensional point cloud data Autor Nurunnabi, Abdul, Sadahiro, Yukio, Laefer, Debra F.

“…•Two robust circle fitting algorithms are proposed in point cloud data.•The new methods fit robust circle in the presence noise, and high percentage of…”
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A novel approach for pavement distress detection and quantification using RGB-D camera and deep learning algorithm Autor Lin, Wuguang, Li, Xiaolong, Han, Hao, Yu, Qifeng, Cho, Yoon-Ho

“…•Innovative Pavement Distress Detection: This study introduces a pioneering approach utilizing an RGB-D camera and instance segmentation algorithm to detect…”
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Improvement of normal estimation for point clouds via simplifying surface fitting Autor Zhou, Jun, Jin, Wei, Wang, Mingjie, Liu, Xiuping, Li, Zhiyang, Liu, Zhaobin

“…During the last decade, stimulated by the roaring success of neural networks in the realm of point clouds, learning-based normal estimation has been a…”
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Transfer Learning Based Semantic Segmentation for 3D Object Detection from Point Cloud Autor Imad, Muhammad, Doukhi, Oualid, Lee, Deok-Jin

“…Three-dimensional object detection utilizing LiDAR point cloud data is an indispensable part of autonomous driving perception systems. Point cloud-based 3D…”
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