Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"LiDAR Point Cloud"”.
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River channel dynamics mapped with dense lidar point cloud time series
… high-resolution airplane- and drone-based lidar datasets that describe the detailed shape of the bank surface topography. Changes between the datasets show how the outer channel banks evolve over time scales ranging from two months to 14 years. A second motivation for my work is to advance …
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Image Analysis Techniques for LiDAR Point Cloud Segmentation and Surface Estimation
Light Detection And Ranging (LiDAR), as well as many other applications and sensors, involve segmenting sparse sets of points (point clouds) for which point density is the only discriminating feature. The segmentation of these point clouds is challenging for several reasons, including the fact that …
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Self-Supervised Learning Method for Semantic Segmentation of LiDAR Point Clouds
… advancements in semantic segmentation for LiDAR point clouds, largely the adopting of deep learning techniques. There are the related works of 3D semantic segmentation, including neural network models to process converted voxels, points, and graphs. However, point-based methods are not …
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Evaluating the performance of multi-rotor UAV-Sfm imagery in assessing simple and complex forest structures: comparison to advanced remote sensing sensors
… depend on reliable dense photogrammetric point cloud. The main aim of this study was to evaluate the performance of multirotor UAV photogrammetric point cloud in estimating homogeneous and heterogeneous forest structures, and their comparison to more accurate LiDAR data obtained from …
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Multirotor UAS Sense and Avoid with Sensor Fusion
… comprised of a 3D Light Detection and Ranging (LIDAR) sensor, visual camera, and 9 Degree of Freedom (DOF) Inertial Measurement Unit (IMU) was found to be beneficial to autonomous UAS SAA in urban environments. Promising results are based on to the broadening of available information about a …
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Real-Time Realization of Lidar – Based Digital Surface Models for Airborne Safe Landing Zone Identification in Challenging Environments
… snow, rain, blowing sand and dust, fog, smoke, clouds, darkness, and flat light conditions that currently hamper aviation operations. With the growing demand for such applications, there is a need for efficient LiDAR processing algorithms capable of generating DSMs in real-time and provide the …
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Statistical methods for 2D-3D registration of optical and LIDAR images
Fusion of 3D laser radar (LIDAR) imagery and aerial optical imagery is an efficient method for constructing 3D virtual reality models. One difficult aspect of creating such models is registering the optical image with the LIDAR point cloud, which is a camera pose estimation problem. We propose a …
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EXTRAÇÃO DE VARIÁVEIS DENDROMÉTRICAS DE FLORESTA URBANA UTILIZANDO DADOS DE LASER AEROTRANSPORTADO
… of three main stages: pre-processing of the LiDAR point cloud, extraction of dendrometric variables, and evaluation of result quality. Two methods were applied for tree detection: one based on the Canopy Height Model (CHM) and the other directly on the three-dimensional point cloud. To …
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Automated segmentation, detection and fitting of piping elements from terrestrial LIDAR data
… the invention of light detection and ranging (LIDAR) in the early 1960s, it has been adopted for use in numerous applications, from topographical mapping with airborne LIDAR platforms to surveying of urban sites with terrestrial LIDAR systems. Static terrestrial LIDAR has become an especially …
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Towards Systematic Selection of Terrain- and Ground Cover-Specific LiDAR Filtering Parameters
<p>Accurate automated classification of LiDAR point clouds is a well-known problem and proper parameterization of the classification algorithm is essential to creating useful bare-earth terrain models. Parameterization is particularly important in areas characterized by extremely low relief, such …
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Multiple scenario analyses forecasting the impacts of sea level rise in Cape Town, South Africa
… a DEM of a spatial resolution of 2 m from LiDAR point cloud data, we made use of GIS to design 4 sea level rise scenarios based on the RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5 scenarios from the IPCC. Among the findings, it was found that 2.16 – 3.09 km² of land would be potentially inundated …
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GPS-LiDAR sensor fusion aided by 3D city models for UAVs
… of the UAV. Light Detection and Ranging (LiDAR), one such sensor, provides a real-time point cloud of its surroundings. In a dense urban environment, LiDAR is able to detect a large number of features of surrounding structures, such as buildings, as opposed to in an open-sky environment. …
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Analysis of microtopography, vegetation, and active-layer thickness using terrestrial LIDAR and kite photography, Barrow, AK
… and landcover. In 2010, terrestrial LIDAR was used to collect high-resolution elevation data for four 10 m × 10 m plots where maximum active-layer thickness (ALT) and elevation have been monitored on an annual basis since the mid-1990s and had been monitored in the 1960s as well. The …
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Analysis of microtopography, vegetation, and active-layer thickness using terrestrial LIDAR and kite photography, Barrow, AK
… and landcover. In 2010, terrestrial LIDAR was used to collect high-resolution elevation data for four 10 m × 10 m plots where maximum active-layer thickness (ALT) and elevation have been monitored on an annual basis since the mid-1990s and had been monitored in the 1960s as well. The …
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Depth Correction++ for pseudo-LiDAR
… of autonomous vehicles. Researchers commonly use LiDAR data in 3D object detection, because it can provide accurate depth information. However, LiDAR sensors are expensive, which means it is not economical to use LiDAR sensors and data in real life. How- ever, using only cameras for 3D object …
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Uncertainty Quantification of Tightly Integrated LiDAR/IMU Localization Algorithms
… properties of light detection and ranging (LiDAR) and inertial measuring units (IMU). This dissertation describes the following four contributions. First, we focus on sensor augmentation for landmark-based localization. We develop new IMU/LiDAR integration methods that guarantee a bound on …
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Inventorying trees in an urban landscape using small-footprint discrete return imaging lidar
… needed for using remote-sensing technology like lidar for tree inventory in urban areas than is required for forested environments. Based on remote sensing and field data from a suburban residential area in the central United States, this dissertation presents a methodology for utilizing airborne …
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Hydraulic and geospatial analyses of stream engineering and habitat restoration near Los Lunas, NM
… current digital terrain model (collected using LiDAR), a readily available hydraulic modeling software package (HEC-RAS), and the frontrunner of geographic information systems (ArcMap). Features used in hydraulic modeling were manually digitized in most cases although some were assisted using …
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Graphical SLAM for urban UAV navigation
… sensors, such as Light Detection and Ranging (LiDAR) sensors. LiDAR-based odometry provides an accurate relative navigation solution in GPS-challenged environments, but requires distinguishable features in the surrounding environment and is susceptible to drift and biases. As a result, there is …
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