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Mihai-Sorin Stupariu, Alin-Ionu? Ple?oianu, Ileana Patru-Stupariu and Christine Fürst
This paper presents an approach to detecting patterns in a three-dimensional context, emphasizing the role played by the local geometry of the surface model. The core of the associated algorithm is represented by the cosine similarity computed to sub-mat...
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Gilles-Antoine Nys, Florent Poux and Roland Billen
The relevant insights provided by 3D City models greatly improve Smart Cities and their management policies. In the urban built environment, buildings frequently represent the most studied and modeled features. CityJSON format proposes a lightweight and ...
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Raffaele Albano
Three-dimensional (3D) reconstruction techniques are increasingly used to obtain 3D representations of buildings due to the broad range of applications for 3D city models related to sustainability, efficiency and resilience (i.e., energy demand estimatio...
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Haichao Wang, Yong Yin and Qianfeng Jing
Accurate positioning and state estimation of surface vessels are prerequisites to achieving autonomous navigation. Recently, the rapid development of 3D LiDARs has promoted the autonomy of both land and aerial vehicles, which has aroused the interest of ...
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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...
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Long Hoang, Suk-Hwan Lee, Eung-Joo Lee and Ki-Ryong Kwon
Light Detection and Ranging (LiDAR), which applies light in the formation of a pulsed laser to estimate the distance between the LiDAR sensor and objects, is an effective remote sensing technology. Many applications use LiDAR including autonomous vehicle...
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Shruti Bharadwaj, Rakesh Dubey, Md Iltaf Zafar, Rashid Faridi, Debashish Jena and Susham Biswas
Urban planning, noise propagation modelling, viewshed analysis, etc., require determination of routes or supply lines for propagation. A point-to-point routing algorithm is required to determine the best routes for the propagation of noise levels from so...
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Sharad Mehta, John Peach and Andrew Weinert
Aerial surveys using LiDAR systems can play a vital role in the quantitative assessment of infrastructure damage caused by hurricanes, floods, and other natural disasters. GmAPD LiDAR provides high-resolution 3D point-cloud data which enables the surveyo...
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Gursel Y. Çakir, Christopher J. Post, Elena A. Mikhailova and Mark A. Schlautman
Forest measurements using conventional methods may not capture all the important information required to properly characterize forest structure. The objective of this study was to develop a low-cost alternative method for forest inventory measurements an...
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Sergiy Kostrikov, Rostyslav Pudlo, Dmytro Bubnov and Vladimir Vasiliev
Our research presents a complete R&D cycle?from the urban terrain generation and feature extraction by raw LiDAR data processing, through visualizing a huge number of urban features, and till applied thematic use cases based on these features extract...
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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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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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Yi-Chen Chen, Bo-Yi Lin and Chao-Hung Lin
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Gustavo Rocha, Luís Mateus and Victor Ferreira
Building Information Modeling (BIM) has emerged as a revolutionary tool in the domain of architectural conservation and documentation. When combined with terrestrial 3D laser scanning, it presents a powerful method to capture and represent the intricate ...
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Pedro Torres, Hugo Marques and Paulo Marques
This paper describes a real case implementation of an automatic pedestrian-detection solution, implemented in the city of Aveiro, Portugal, using affordable LiDAR technology and open, publicly available, pedestrian-detection frameworks based on machine-l...
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Yu-Cheng Fan and Sheng-Bi Wang
With the advancement of artificial intelligence, deep learning technology is applied in many fields. The autonomous car system is one of the most important application areas of artificial intelligence. LiDAR (Light Detection and Ranging) is one of the mo...
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José Javier Pérez, María Senderos, Amaia Casado and Iñigo Leon
The aim of the study is to obtain fast digitalization of large urban settings. The data of two university campuses in two cities in northern Spain was captured. Challenges were imposed by the lockdown situation caused by the COVID-19 pandemic, which limi...
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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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Zehra Cetin and Naci Yastikli
Trees are the key components of urban vegetation in cities. The timely and accurate identification of existing urban tree species with their location is the most important task for improving air, water, and land quality; reducing carbon accumulation; mit...
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Huazhi Li, Zhangyu Wang, Guizhen Yu, Ziren Gong, Bin Zhou, Peng Chen and Fei Zhao
Object detection is an essential task for autonomous vehicles to ensure safety. Due to the complexity of mining environments, it is difficult to detect objects accurately and robustly. To address these issues, this paper proposes a novel 3D LiDAR-based o...
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