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Su Yang, Miaole Hou, Ahmed Shaker and Songnian Li
The digital documentation of cultural relics plays an important role in archiving, protection, and management. In the field of cultural heritage, three-dimensional (3D) point cloud data is effective at expressing complex geometric structures and geometri...
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Abderrahim Elmoataz, François Lozes and Hugues Talbot
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Guoray Cai and Yimu Pan
Room usage semantics in models of large indoor environments such as public buildings and business complex are critical in many practical applications, such as health and safety regulations, compliance, and emergency response. Existing models such as Indo...
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Yijing Li, Ping Liu, Huokun Li and Faming Huang
Dam deformation monitoring can directly identify the safe operation state of a dam in advance, which plays an important role in dam safety management. Three-dimensional (3D) terrestrial laser scanning technology is widely used in the field of deformation...
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Shilin Huo, Yujun Liu, Ji Wang, Rui Li, Xiao Liu and Jiawei Shi
Recently, point cloud technology has been applied in the ship engineering field. However, the dense point cloud acquired by terrestrial laser scanning (TLS) technology in ship engineering applications brings an obstacle to some powerful and advanced poin...
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Florent Poux, Romain Neuville, Line Van Wersch, Gilles-Antoine Nys and Roland Billen
Digital investigations of the real world through point clouds and derivatives are changing how curators, cultural heritage researchers and archaeologists work and collaborate. To progressively aggregate expertise and enhance the working proficiency of al...
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Nuno Abreu, Andry Pinto, Aníbal Matos and Miguel Pires
Point cloud processing is an essential task in many applications in the AEC domain, such as automated progress assessment, quality control and 3D reconstruction. As much of the procedure used to process the point clouds is shared among these applications...
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Ling Bai, Yinguo Li and Ming Cen
With the popularity of ground and airborne three-dimensional laser scanning hardware and the development of advanced technologies for computer vision in geometrical measurement, intelligent processing of point clouds has become a hot issue in artificial ...
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Milan Koren, Milan Huncaga, Juliana Chudá, Martin Mokro? and Peter Surový
Circle-fitting methods are commonly used to estimate diameter at breast height (DBH) of trees from horizontal cross-section of point clouds. In this paper, we addressed the problem of cross-section thickness optimization regarding DBH estimation bias and...
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Haozhe Yang, Zhiling Wang, Linglong Lin, Huawei Liang, Weixin Huang and Fengyu Xu
The perception system has become a topic of great importance for autonomous vehicles, as high accuracy and real-time performance can ensure safety in complex urban scenarios. Clustering is a fundamental step for parsing point cloud due to the extensive i...
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Endre Hofstad Hansen, Liviu Theodor Ene, Terje Gobakken, Hans Ole Ørka, Ole Martin Bollandsås and Erik Næsset
Forest attributes such as tree heights, diameter distribution, volumes, and biomass can be modeled utilizing the relationship between remotely sensed metrics as predictor variables, and measurements of forest attributes on the ground. The quality of the ...
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Minying Ye and Kanji Tanaka
Self-localization is a crucial requirement for visual robot place recognition. Particularly, the 3D point cloud obtained from 3D laser rangefinders (LRF) is applied to it. The critical part is the efficiency and accuracy of place recognition of visual ro...
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Rabia Rashdi, Joaquín Martínez-Sánchez, Pedro Arias and Zhouyan Qiu
Building information modelling (BIM) is evolving significantly in the architecture, engineering and construction industries. BIM involves various remote-sensing tools, procedures and standards that are useful for collating the semantic information requir...
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Yan Zhang, Wenhan Zhao, Bo Sun, Ying Zhang and Wen Wen
Point cloud upsampling algorithms can improve the resolution of point clouds and generate dense and uniform point clouds, and are an important image processing technology. Significant progress has been made in point cloud upsampling research in recent ye...
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Luigi Barazzetti, Mattia Previtali and Marco Scaioni
Building Information Modeling (BIM) has a crucial role in smart road applications, not only limited to the design and construction stages, but also to traffic monitoring, autonomous vehicle navigation, road condition assessment, and real-time data delive...
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Ronghao Yang, Qitao Li, Junxiang Tan, Shaoda Li and Xinyu Chen
Road markings that provide instructions for unmanned driving are important elements in high-precision maps. In road information collection technology, multi-beam mobile LiDAR scanning (MLS) is currently adopted instead of traditional mono-beam LiDAR scan...
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Franti?ek Chudý, Martina Slámová, Julián Toma?tík, Roberta Proke?ová and Martin Mokro?
An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have a lack of data connectivity, and optical parameters of scanning cameras lead to different densities of point ...
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Chengda Lin, Fangzheng Hu, Junwen Peng, Jing Wang and Ruifang Zhai
Three-dimensional (3D) laser point cloud technology is an important research method in the field of agricultural remote sensing research. The collection and processing technology of terrestrial light detection and ranging (LiDAR) point cloud of crops has...
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Marek Kulawiak, Marcin Kulawiak and Zbigniew Lubniewski
The rapid increase in applications of Light Detection and Ranging (LiDAR) scanners, followed by the development of various methods that are dedicated for survey data processing, visualization, and dissemination constituted the need of new open standards ...
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Tomá? Mikita, Premysl Janata and Peter Surový
In this article we introduce a new method for forest management inventories especially suitable for highly-valued timber where the precise estimation of stem parameters (diameter, form, and tapper) plays the key role for market purposes. The unmanned aer...
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