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Lesia Mochurad, Yaroslav Hladun and Roman Tkachenko
Obstacle detection is crucial for the navigation of autonomous mobile robots: it is necessary to ensure their presence as accurately as possible and find their position relative to the robot. Autonomous mobile robots for indoor navigation purposes use se...
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Kayal Lakshmanan, Matt Roach, Cinzia Giannetti, Shubham Bhoite, David George, Tim Mortensen, Manduhu Manduhu, Behzad Heravi, Sharadha Kariyawasam and Xianghua Xie
Vehicle detection in parking areas provides the spatial and temporal utilisation of parking spaces. Parking observations are typically performed manually, limiting the temporal resolution due to the high labour cost. This paper uses simulated data and tr...
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Hua Liu, Xiaoming Zhang, Yuancheng Xu and Xiaoyong Chen
The degree of automation and efficiency are among the most important factors that influence the availability of Terrestrial light detection and ranging (LiDAR) Scanning (TLS) registration algorithms. This paper proposes an Ortho Projected Feature Images ...
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Bashar Alsadik and Fabio Remondino
In the last two decades, unmanned aircraft systems (UAS) were successfully used in different environments for diverse applications like territorial mapping, heritage 3D documentation, as built surveys, construction monitoring, solar panel placement and a...
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Gottfried Mandlburger and Boris Jutzi
Single photon sensitive airborne Light Detection And Ranging (LiDAR) enables a higher area performance at the price of an increased outlier rate and a lower ranging accuracy compared to conventional Multi-Photon LiDAR. Single Photon LiDAR, in particular,...
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Luis Gézero and Carlos Antunes
Road rutting caused by vehicle loading in the wheel path is a major form of asphalt pavement distress. Hydroplaning and loss of skid resistance are directly related to high road rutting severity. Periodical measurements of rut depth are crucial to mainte...
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Manuel A. Valbuena,Esperanza Mateos,Francisco Rodríguez
Pág. e019
Aim of study: To test the use of LiDAR data from a single acquisition in order to estimate volume overbark variations ina 5-yr period of Pinus radiata D. Don.Area of study: Province of Bizkaia in the Autonomous Community of the Basque Country (Spain).Mat...
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Manuel-Ángel Valbuena-Rabadán,Jacinto Santamaría-Peña,Félix Sanz-Adán
Pág. e046
Aim of study: The objective of this study is to test the validity of the DBH and total height allometric models fitted to the crown polygon data obtained by the application of a crown delineation and individualisation algorithm which uses the geometrical...
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Minsu Kim
An airborne lidar simulator creates a lidar point cloud from a simulated lidar system, flight parameters, and the terrain digital elevation model (DEM). At the basic level, the lidar simulator computes the range from a lidar system to the surface of a te...
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Miguel Garcia-Hidalgo,Ángela Blázquez-Casado,Beatriz Águeda,Francisco Rodriguez
Pág. eSC03
Aim of study: The main objective is to determine the best machine-learning algorithm to classify the stand types of Monteverde forests combining LiDAR, orthophotography, and Sentinel-2 data, thus providing an easy and cheap method to classify Monteverde ...
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Azita Ahmad Zawawi,Masami Shiba,Noor Janatun Naim Jemali
Pág. e002
Aim of study: To present an approach for estimating tree heights, stand density and crown patches using LiDAR data in a subtropical broad-leaved forest.Area of study: The study was conducted within the Yambaru subtropical evergreen broad-leaved forest, O...
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Gordana Jakovljevic, Miro Govedarica, Flor Alvarez-Taboada and Vladimir Pajic
Digital elevation model (DEM) has been frequently used for the reduction and management of flood risk. Various classification methods have been developed to extract DEM from point clouds. However, the accuracy and computational efficiency need to be impr...
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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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Ashleigh B. Turner, Jeffrey D. Colby, Ryan M. Csontos and Michael Batten
This study examined the utility of a high resolution ground-based (mobile and terrestrial) Light Detection and Ranging (LiDAR) dataset (0.2 m point-spacing) supplemented with a coarser resolution airborne LiDAR dataset (5 m point-spacing) for use in a fl...
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Hanzhang Xue, Hao Fu and Bin Dai
For autonomous driving, it is important to obtain precise and high-frequency localization information. This paper proposes a novel method in which the Inertial Measurement Unit (IMU), wheel encoder, and lidar odometry are utilized together to estimate th...
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Ronald Vernimmen, Aljosja Hooijer, Dedi Mulyadi, Iwan Setiawan, Maarten Pronk and Angga T. Yuherdha
Water management in lowland areas usually aims to keep water tables within a narrow range to avoid flooding and drought conditions. A common water management target parameter is the depth of the canal water table below the surrounding soil surface. We de...
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Yibo Zhang, Hao Sun, Fanhang Zhang, Baohua Zhang, Shutian Tao, Haitao Li, Kaijie Qi, Shaoling Zhang, Seishi Ninomiya and Yue Mu
To realize autonomous navigation and intelligent management in orchards, vehicles require real-time positioning and globally consistent mapping of surroundings with sufficient information. However, the unstructured and unstable characteristics of orchard...
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Dongbing Guo, Chunhui Wang, Baoling Qi, Yu Zhang and Qingyan Li
Active imaging technology can perceive the surrounding environment and obtain three-dimensional information of the target. Among them, light detection and ranging (LiDAR) imaging systems are one of the hottest topics in the field of photoelectric active ...
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Minghui Zhao, Xiaobin Xu, Hao Yang and Zhijie Pan
A new proportional integral derivative (PID) control method is proposed for the 3D laser scanning system converted from 2D Lidar with a pitching motion device. It combines the advantages of a fuzzy algorithm, a radial basis function (RBF) neural network ...
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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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