Fabiane Bordin - Academia.edu (original) (raw)

Papers by Fabiane Bordin

Research paper thumbnail of Improving geometric road design through a virtual reality visualization technique

TRANSPORTES

Traffic accidents could often be avoided with more in-depth studies of traffic and the geometric ... more Traffic accidents could often be avoided with more in-depth studies of traffic and the geometric layout, using, for example, driving simulators to simulate traffic conditions. The objective of this study is to qualitatively evaluate three types of visualization techniques for examining a road project (one in a 2D printed project and the others using a driving simulator in a virtual immersion system and screen visualization). The results were evaluated by the Analytic Hierarchy Process-AHP method, used to establish different weights for the analyzed variables. For this, a questionnaire was applied to undergraduate students in Civil Engineering to compare the techniques. The results show that the immersive simulation visualization has sufficient quality and can contribute to the validation of geometric designs.

Research paper thumbnail of Article Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management

For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban eco... more For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban ecosystem conditions and the environment of the cities undergoing economic growth. Urban green spaces are valuable sources of evapotranspiration, which is generated by trees and vegetation; these spaces mitigate urban heat islands in cities. Land surface temperature (LST) is closely related to the distribution of land-use and land-cover characteristics and can be used as an indicator of urban environment conditions and development. This study evaluates the patterns of LST distribution through time by employing the thermal spatial distribution signature procedure using thermal infrared data obtained from Landsat-5 Thematic Mapper. A set of 18 images, between 1985 and 2010,

Research paper thumbnail of Laser scanner terrestre na caracterização de alvos florestais

The terrestrial laser scanner is a piece of topographic equipment developed for surveying applica... more The terrestrial laser scanner is a piece of topographic equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. Although many light detection and ranging (LIDAR) studies have been published in recent years, studies addressing methodological approaches to use intensity data from LIDAR are quite rare. In forestry, the intensity of the terrestrial laser scanner (TLS) returning from forest targets can be correlated with characteristics that can help to estimate biomass and carbon storage. However, before intensity data can be used for analysis, it must be processed in order to minimize the edge or border effect, one of the most serious problems of LIDAR's intensity data. In this work, we have identified two types of distortions in the point cloud data caused by the edge effect. The first distortion modifies the intensity values while the second distortion shifts points along the y-axis. Previous studies have not provided any automatic methods to eliminate or minimize the edge effect on intensity data. Our research has focused on characterizing the edge effect behavior as well as to develop an algorithm to minimize edge effect distortion (IRA). Based on a clustering process, together with centroid-and quadtree-based approaches, an algorithm was written to correct intensity data automatically. The IRA showed to be effective recovering 35.71% of points distorted by the edge effect in this study. This research showed that the IRA can provide significant improvements and promising results for the development of applications based on TLS data intensity for environmental studies.

Research paper thumbnail of A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021

Very high spatial resolution data seems to reach its maximum for orbital images due to unavoidabl... more Very high spatial resolution data seems to reach its maximum for orbital images due to unavoidable atmospheric interactions. At the same time, special hyperspectral cameras are being developed to operate on-board manned or unmanned aircrafts at a fixed optics, which prevents its using for imaging near objects in laboratory conditions. Both limitations can only be surpassed by using super-resolution principles. In this paper, we present a multi-looking approach for enhancing the spatial resolution of images acquired by systems that exhausted their natural ability to provide finer images. The method exploits multiple image takes with controlled spatial differences to produce a higher resolution output. Experiments with static hyperspectral sensor and synthetic data have proven the approach is sound and robust to many applications (e.g., rock samples).

Research paper thumbnail of Artificial neural network–based method to classify sedimentary rocks

2018 12th International Conference on Sensing Technology (ICST), 2018

Research paper thumbnail of Analysis of Positional and Geometric Accuracy of Objects in Survey with Unmanned Aerial Vehicle (UAV)

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

This study aimed the analysis of the positional and geometric accuracy of objects in orthomosaics... more This study aimed the analysis of the positional and geometric accuracy of objects in orthomosaics obtained through different unmanned aerial vehicle (UAV) data processing software covering an area located within Universidade do Vale do Rio dos Sinos – UNISINOS in São Leopoldo, RS. A total of nine ground control points (GCP) and twenty checkpoints were surveyed in order register and classify the processed orthomosaics according to the cartographic accuracy standard – Padrão de Exatidão Cartográfica (PEC). Four software was employed to process the UAV data: Pix4D mapper, Agisoft PhotoScan, Menci APS and Bentley Context Capture. The results obtained from each software were compared and identified the smallest distortions when processing with and without ground control points. The flight was executed at a height of 90m with 60% sidelap and 80% overlap using an ST800 UAV equipped with a Sony NEX-7 small format non-metric camera with 24 megapixels resolution. The software GeoPEC was used to classify the orthomosaics according to PEC. For data processed with ground control points all orthomosaics were classified “Class A” in 1/500 scale, however, only Menci APS did not present a trend line via t-student test. On the other hand, Menci APS presented the worst results without the ground control points. In processing with GCP, all orthomosaics obtained optimum results with an approximated error of 2,5 m2, about 0,03% of the area.

Research paper thumbnail of Driver behavior analysis on a curve through immersive simulation and a segmented regression model

TRANSPORTES, 2022

Considering all the elements related to the occurrence of accidents, an important aspect is to id... more Considering all the elements related to the occurrence of accidents, an important aspect is to identify the drivers most prone to accidents. This study aims to evaluate the behavior of drivers concerning gender and age. For this, a stretch of highway with a dangerous curve was modeled in a simulator using an immersive virtual environment and 59 people experienced the simulation. The car speed was registered along the route and from a segmented regression model, the behavior for both groups was evaluated regarding average speed. The results showed that older drivers (26 to 35 years old) of the female gender slowed the car before the other profile groups. Also, younger drivers (18 to 25 years old) took longer to slow down and had more accidents in the simulations. These results show that there are differences in driver’s behavior concerning gender and age.

Research paper thumbnail of Detection of cracks and loss of mass in concrete through 3D point clouds generated by Terrestrial Laser Scanner

Infrastructure works are indispensable elements in a road system. However, there aredifficultiest... more Infrastructure works are indispensable elements in a road system. However, there aredifficultiesto realize the necessary inspections. Therefore, it is justified to invest in newtechnologies that may assist in detection of pathological manifestations. This paper presents a non-destructive inspectionway, in which can be used over long distances,based onRemote Sensing techniques. The objective was to evaluate thedata acquired by the Terrestrial Laser Scanner (TLS) to detect cracks andloss of massin concrete. The methodology consisted in scanning the surface of concrete specimens that had cracks and loss of mass. The data acquiredby TLS over thepathologicalmanifestationspresents in the specimens were comparedto the fissure meterand tape measure readings.The results showed that it is possible to identify these pathological manifestationsin concrete. It was also possible to test the reachof the equipment and data detection quality.

Research paper thumbnail of Terrestrial Laser Scanner in the characterization of forest targets

Research paper thumbnail of RIDERS: Road Inspection Driver Simulation

2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2018

The main goal of this paper was to evaluate the use of a low cost immersive driving simulator to ... more The main goal of this paper was to evaluate the use of a low cost immersive driving simulator to improve the teaching learning process of the Transport Infrastructure undergraduate course. The driving simulator that was developed in a virtual reality environment to assist both the teaching of engineering and the research on road safety. An experiment was conducted in Transport Infrastructure 1 course for Civil Engineering students in a Brazilian university. The students developed a geometric design of a road that was posteriorly modeled in 3D and provided in simulator. Students piloted a vehicle in the immersive simulator in the same road that they designed. Subsequently the usability of the system was assessed by the SUS metric (System Usability Scale). We performed an evaluation with 52 users and the SUS metric that we found was of 73% assuring a degree of usability above average and demonstrating that the immersive system is good to be used as a complementary tool in the learning of transport infrastructure.

Research paper thumbnail of Laser scanner intensity calibration based on artificial neural networks

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

In this study, we propose a method to calibrate the laser pulse return intensity of a Terrestrial... more In this study, we propose a method to calibrate the laser pulse return intensity of a Terrestrial Laser Scanner (TLS) based on Artificial Neural Networks. The laser pulse return intensity has an important rule on rocks types' classification when using Digital Outcrops Models (DOM) and has been the focus of much research by the geological community as it helps the geological interpretation in outcrops. In our experiment, we used a TLS Ilris 3D model with a wavelength of 1,535 nm. Our method has shown good efficiency for the calibration of the laser pulse return intensity, demonstrating a strong applicability for classification studies of rock types on Digital Outcrops Models.

Research paper thumbnail of A new approach to minimize border effect for terrestrial laser scanning

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

Airborne and terrestrial laser scanning techniques have been largely used for the reconstruction ... more Airborne and terrestrial laser scanning techniques have been largely used for the reconstruction of high-resolution 3-D topography in the field of geosciences. In recent years, laser scanning has been also exploited on rock properties, biomass classification and carbon storage estimation. However, when laser spot collides partially against the target or even against undesirable background objects, part of emitted beam is lost and does not return to the laser station. So, it can introduce fewer discontinuities or even artifacts in the point cloud borders, comprising the results. Assuming an interest in minimizing this border effect, we have proposed a computational postprocessing algorithm which identifies anomalies and discrpancies and minimize it by recovering the expected intensity of returned laser pulse. The proposed technique operates on the basis of the collected point cloud intensity of return pulse, laser scanner's position and signals divergence, without requiring any kind of previous setup or additional accessory to the laser scanner.

Research paper thumbnail of Studying the spectral behavior of concrete for evaluation non-destructively of resistance in situ

Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, 2016

Concrete is the building material most widely used in the world due to its characteristics, which... more Concrete is the building material most widely used in the world due to its characteristics, which enable the constrution of large buildings, long span bridges or even special artworks. However, many of these structures need repair and reinforcement thus requiring knowledge of concrete properties, among which the most important is their compressive strength. Our main goal in this article is to develop a simple and inex-pensive non-destructivetechnique for assessing in the determination of concrete strenght, based on the con-crete’s spectral behavior, obtained through spectroscopy. The spectral behavior of concrete with different strength classes was conducted and a relationship between the spectral signatures and the resistances was ob-tained, thus validating the proposed technique. Based on the results obtained, we concluded that the analysis of the spectral behavior, through spectroscopy,has the potential to estimate mechanical strength of concrete, pre-senting advantages over conventional methods mainly due to its non-destructive character.

Research paper thumbnail of Immersive Virtual Fieldwork: Advances for the Petroleum Industry

2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2018

Laser scanning and photogrammetry techniques have been broadly adopted by Oil&Gas industry for mo... more Laser scanning and photogrammetry techniques have been broadly adopted by Oil&Gas industry for modeling petroleum reservoir analogues. Beyond the benefits of digital data itself, computer systems employed by geoscientists for interpretation and modeling tasks provide high quality rendering, point clouds surface meshes and photo-realistic textured models. But these systems, commonly, have used 2-D display, the 3-D models and information are projected on the screen, providing a limited visualization and restrictive toolset for interpretation. This work proposes to break this paradigm by developing a fully immersive system capable to virtually teleport the geoscientists to the fieldwork and provide a complete toolset for the outcrop's interpretation. Besides, the system has been evaluated and validated by geologists with different skills and it has emerged as an useful and attractive toolset for Oil&Gas industry.

Research paper thumbnail of Imspector: Immersive System of Inspection of Bridges/Viaducts

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019

One of the main difficulties in the inspection of Bridges/Viaducts by observation is inaccessibil... more One of the main difficulties in the inspection of Bridges/Viaducts by observation is inaccessibility or lack of access throughout the structure. Mapping using remote sensors on Unmanned Aerial Vehicles (UAVs) or by means of laser scanning can be an interesting alternative to the engineer as it can enable more detailed analysis and diagnostics. Such mapping techniques also allow the generation of realistic 3D models that can be integrated in Virtual Reality (VR) environments. In this sense, we present the ImSpector, a system that uses realistic 3D models generated by remote sensors embedded in UAVs that implements a virtual and immersive environment for inspections. As a result, the system provides the engineer a tool to carry out field tests directly at the office, ensuring agility, accuracy and safety in bridge and viaduct inspections.

Research paper thumbnail of Analysis of the influence of distance on data acquisition intensity targets forestry Terrestrial Laser Scanner

SUMMARY The forest sciences as well as other areas of knowledge benefit from technological advanc... more SUMMARY The forest sciences as well as other areas of knowledge benefit from technological advances to develop increasingly their working methods and increase their knowledge of their specific field of study. Are continually developed new equipment and methods to support these applications and, among the equipment and systems developed in recent years, systems for laser scanning and profiling have been consolidated as one of the most effective technologies for geospatial data acquisition. The automated data collection expanded rapidly in recent years, in line with the technological advances made in the areas of surveying and mapping. The scanning systems and laser profiling, also known as Terrestrial Laser Scanner (LST) have some characteristics that apply so important in forest analysis. The LST has the great advantage of being a method of data acquisition and fast non-destructive. In most cases, the equipment Terrestrial Laser Scanner generate its own format file of the data colle...

Research paper thumbnail of Divulgação de dados ambientais e socioeconômicos na internet usando um modelo baseado no uso de ferramentas livres

Um modelo baseado no uso de ferramentas livres e apresentado, visando a publicacao de dados socio... more Um modelo baseado no uso de ferramentas livres e apresentado, visando a publicacao de dados socioeconomicos e ambientais e divulgacao de informacoes na internet. A estrutura deste modelo permite que as informacoes sejam apresentadas sob a forma de tabelas, graficos, fotos ou mapas para a web. A escolha de um determinado formato de apresentacao da informacao e determinada de acordo com os objetivos do desenvolvedor. Como resultado do trabalho, o usuario criara um banco de dados geograficos virtual para gerar informacoes estaticas e mapas interativos para a web. As principais ferramentas utilizadas foram o sistema de informacoes geograficas Spring, banco de dados relacional MySQL, PHP script e o servidor Apache HTTP. Palavras-chave: mapeamento via Web, ferramentas livres, Spring Web, Sistema de Informacao Geografica.

Research paper thumbnail of Estudo da remoção de matéria orgânica carbonácea, nitrogênio amoniacal e fósforo em lixiviado pré-tratado de aterro sanitário empregando typha em wetlands

O lixiviado de aterro sanitario de residuos solidos urbanos e resultado da interacao entre o proc... more O lixiviado de aterro sanitario de residuos solidos urbanos e resultado da interacao entre o processo de biodegradacao da fracao orgânica desses residuos e da infiltracao de aguas pluviais que solubilizam componentes orgânicos e inorgânicos. Para a realizacao do tratamento do efluente em questao, buscam-se solucoes tecnologicas eficientes e de baixo custo, de forma a atender exigencias da maioria das comunidades brasileiras. As tecnicas usuais para tratamento do lixiviado, principalmente lagoas, apresentam uma deficiencia na remocao de nutrientes tais como nitrogenio e fosforo. Neste aspecto acredita-se que unidades do tipo wetlands possam ser uma solucao eficaz para o tratamento do lixiviado, minimamente de forma complementar a outros sistemas previos (aerobios e/ou anaerobios). Foram construidos wetlands de 1,8m, sendo que o genero vegetal escolhido foi a macrofita Typha. Dois wetlands superficiais foram estudados: um de fluxo horizontal (WH), outro de fluxo vertical (WV) e ainda ...

Research paper thumbnail of A Proposed Earthquake Warning System Based on Ionospheric Anomalies Derived From GNSS Measurements and Artificial Neural Networks

The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS) data proc... more The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS) data processing has been used as a tool for monitoring earthquakes. The purpose of this study is to bring an alternative approach to the prediction of earthquakes and to determine their magnitudes based on Artificial Neural Networks (ANN) and ionospheric disturbances. For this, the Vertical Total Electron Content (VTEC) data from the National Oceanic and Atmosphere Administration (NOAA) were used to train the ANN. Results show that the ANN process achieved an accuracy of 85.71% in validation assessment to predict Tres Picos Mw=8.2 earthquake from 1:30 UTC to 04:00 UTC, approximately 3 hours before the seismic event. For magnitude classification, the ANN achieved an accuracy of 94.60%. The Matthews Correlation Coefficient (MCC) which takes into account all true/false positives and negatives was also evaluated and showed promising results.

Research paper thumbnail of MOSIS — Multi-outcrop sharing interpretation system

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for crea... more The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for creating 3-D models of natural outcrops and surfaces studies have increased dramatically in the last few years. These techniques have provided an enormous amount of data for interpretation by geoscientists. However, these researchers have no available software capable of offering a user experience comparable to the fieldwork. The majority of solutions have considered desktop systems, which presents inherent limitations due to the 2-D characteristics of displays and loss of immersion into the 3-D model, or up until expensive and complex stereoscopic based approaches to improve the 3-D user experience do not offer well suitable solutions. To address these limitations, this paper presents a low-cost completely disruptive solution for processing, visualizing, sharing and directly handling Digital Outcrop Models with the support of a full interpretation toolset, the MOSIS System. The proposed system provides a fully immersive computational environment, capable of teleporting virtually geoscientists to the fieldwork, giving an awareness of being there physically with an extensible toolset for the DOM's interpretation. Besides, desktop, web and mobile versions of MOSIS have been under development and fulfill the lack of tools for digital outcrop modeling.

Research paper thumbnail of Improving geometric road design through a virtual reality visualization technique

TRANSPORTES

Traffic accidents could often be avoided with more in-depth studies of traffic and the geometric ... more Traffic accidents could often be avoided with more in-depth studies of traffic and the geometric layout, using, for example, driving simulators to simulate traffic conditions. The objective of this study is to qualitatively evaluate three types of visualization techniques for examining a road project (one in a 2D printed project and the others using a driving simulator in a virtual immersion system and screen visualization). The results were evaluated by the Analytic Hierarchy Process-AHP method, used to establish different weights for the analyzed variables. For this, a questionnaire was applied to undergraduate students in Civil Engineering to compare the techniques. The results show that the immersive simulation visualization has sufficient quality and can contribute to the validation of geometric designs.

Research paper thumbnail of Article Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management

For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban eco... more For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban ecosystem conditions and the environment of the cities undergoing economic growth. Urban green spaces are valuable sources of evapotranspiration, which is generated by trees and vegetation; these spaces mitigate urban heat islands in cities. Land surface temperature (LST) is closely related to the distribution of land-use and land-cover characteristics and can be used as an indicator of urban environment conditions and development. This study evaluates the patterns of LST distribution through time by employing the thermal spatial distribution signature procedure using thermal infrared data obtained from Landsat-5 Thematic Mapper. A set of 18 images, between 1985 and 2010,

Research paper thumbnail of Laser scanner terrestre na caracterização de alvos florestais

The terrestrial laser scanner is a piece of topographic equipment developed for surveying applica... more The terrestrial laser scanner is a piece of topographic equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. Although many light detection and ranging (LIDAR) studies have been published in recent years, studies addressing methodological approaches to use intensity data from LIDAR are quite rare. In forestry, the intensity of the terrestrial laser scanner (TLS) returning from forest targets can be correlated with characteristics that can help to estimate biomass and carbon storage. However, before intensity data can be used for analysis, it must be processed in order to minimize the edge or border effect, one of the most serious problems of LIDAR's intensity data. In this work, we have identified two types of distortions in the point cloud data caused by the edge effect. The first distortion modifies the intensity values while the second distortion shifts points along the y-axis. Previous studies have not provided any automatic methods to eliminate or minimize the edge effect on intensity data. Our research has focused on characterizing the edge effect behavior as well as to develop an algorithm to minimize edge effect distortion (IRA). Based on a clustering process, together with centroid-and quadtree-based approaches, an algorithm was written to correct intensity data automatically. The IRA showed to be effective recovering 35.71% of points distorted by the edge effect in this study. This research showed that the IRA can provide significant improvements and promising results for the development of applications based on TLS data intensity for environmental studies.

Research paper thumbnail of A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021

Very high spatial resolution data seems to reach its maximum for orbital images due to unavoidabl... more Very high spatial resolution data seems to reach its maximum for orbital images due to unavoidable atmospheric interactions. At the same time, special hyperspectral cameras are being developed to operate on-board manned or unmanned aircrafts at a fixed optics, which prevents its using for imaging near objects in laboratory conditions. Both limitations can only be surpassed by using super-resolution principles. In this paper, we present a multi-looking approach for enhancing the spatial resolution of images acquired by systems that exhausted their natural ability to provide finer images. The method exploits multiple image takes with controlled spatial differences to produce a higher resolution output. Experiments with static hyperspectral sensor and synthetic data have proven the approach is sound and robust to many applications (e.g., rock samples).

Research paper thumbnail of Artificial neural network–based method to classify sedimentary rocks

2018 12th International Conference on Sensing Technology (ICST), 2018

Research paper thumbnail of Analysis of Positional and Geometric Accuracy of Objects in Survey with Unmanned Aerial Vehicle (UAV)

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

This study aimed the analysis of the positional and geometric accuracy of objects in orthomosaics... more This study aimed the analysis of the positional and geometric accuracy of objects in orthomosaics obtained through different unmanned aerial vehicle (UAV) data processing software covering an area located within Universidade do Vale do Rio dos Sinos – UNISINOS in São Leopoldo, RS. A total of nine ground control points (GCP) and twenty checkpoints were surveyed in order register and classify the processed orthomosaics according to the cartographic accuracy standard – Padrão de Exatidão Cartográfica (PEC). Four software was employed to process the UAV data: Pix4D mapper, Agisoft PhotoScan, Menci APS and Bentley Context Capture. The results obtained from each software were compared and identified the smallest distortions when processing with and without ground control points. The flight was executed at a height of 90m with 60% sidelap and 80% overlap using an ST800 UAV equipped with a Sony NEX-7 small format non-metric camera with 24 megapixels resolution. The software GeoPEC was used to classify the orthomosaics according to PEC. For data processed with ground control points all orthomosaics were classified “Class A” in 1/500 scale, however, only Menci APS did not present a trend line via t-student test. On the other hand, Menci APS presented the worst results without the ground control points. In processing with GCP, all orthomosaics obtained optimum results with an approximated error of 2,5 m2, about 0,03% of the area.

Research paper thumbnail of Driver behavior analysis on a curve through immersive simulation and a segmented regression model

TRANSPORTES, 2022

Considering all the elements related to the occurrence of accidents, an important aspect is to id... more Considering all the elements related to the occurrence of accidents, an important aspect is to identify the drivers most prone to accidents. This study aims to evaluate the behavior of drivers concerning gender and age. For this, a stretch of highway with a dangerous curve was modeled in a simulator using an immersive virtual environment and 59 people experienced the simulation. The car speed was registered along the route and from a segmented regression model, the behavior for both groups was evaluated regarding average speed. The results showed that older drivers (26 to 35 years old) of the female gender slowed the car before the other profile groups. Also, younger drivers (18 to 25 years old) took longer to slow down and had more accidents in the simulations. These results show that there are differences in driver’s behavior concerning gender and age.

Research paper thumbnail of Detection of cracks and loss of mass in concrete through 3D point clouds generated by Terrestrial Laser Scanner

Infrastructure works are indispensable elements in a road system. However, there aredifficultiest... more Infrastructure works are indispensable elements in a road system. However, there aredifficultiesto realize the necessary inspections. Therefore, it is justified to invest in newtechnologies that may assist in detection of pathological manifestations. This paper presents a non-destructive inspectionway, in which can be used over long distances,based onRemote Sensing techniques. The objective was to evaluate thedata acquired by the Terrestrial Laser Scanner (TLS) to detect cracks andloss of massin concrete. The methodology consisted in scanning the surface of concrete specimens that had cracks and loss of mass. The data acquiredby TLS over thepathologicalmanifestationspresents in the specimens were comparedto the fissure meterand tape measure readings.The results showed that it is possible to identify these pathological manifestationsin concrete. It was also possible to test the reachof the equipment and data detection quality.

Research paper thumbnail of Terrestrial Laser Scanner in the characterization of forest targets

Research paper thumbnail of RIDERS: Road Inspection Driver Simulation

2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2018

The main goal of this paper was to evaluate the use of a low cost immersive driving simulator to ... more The main goal of this paper was to evaluate the use of a low cost immersive driving simulator to improve the teaching learning process of the Transport Infrastructure undergraduate course. The driving simulator that was developed in a virtual reality environment to assist both the teaching of engineering and the research on road safety. An experiment was conducted in Transport Infrastructure 1 course for Civil Engineering students in a Brazilian university. The students developed a geometric design of a road that was posteriorly modeled in 3D and provided in simulator. Students piloted a vehicle in the immersive simulator in the same road that they designed. Subsequently the usability of the system was assessed by the SUS metric (System Usability Scale). We performed an evaluation with 52 users and the SUS metric that we found was of 73% assuring a degree of usability above average and demonstrating that the immersive system is good to be used as a complementary tool in the learning of transport infrastructure.

Research paper thumbnail of Laser scanner intensity calibration based on artificial neural networks

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

In this study, we propose a method to calibrate the laser pulse return intensity of a Terrestrial... more In this study, we propose a method to calibrate the laser pulse return intensity of a Terrestrial Laser Scanner (TLS) based on Artificial Neural Networks. The laser pulse return intensity has an important rule on rocks types' classification when using Digital Outcrops Models (DOM) and has been the focus of much research by the geological community as it helps the geological interpretation in outcrops. In our experiment, we used a TLS Ilris 3D model with a wavelength of 1,535 nm. Our method has shown good efficiency for the calibration of the laser pulse return intensity, demonstrating a strong applicability for classification studies of rock types on Digital Outcrops Models.

Research paper thumbnail of A new approach to minimize border effect for terrestrial laser scanning

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

Airborne and terrestrial laser scanning techniques have been largely used for the reconstruction ... more Airborne and terrestrial laser scanning techniques have been largely used for the reconstruction of high-resolution 3-D topography in the field of geosciences. In recent years, laser scanning has been also exploited on rock properties, biomass classification and carbon storage estimation. However, when laser spot collides partially against the target or even against undesirable background objects, part of emitted beam is lost and does not return to the laser station. So, it can introduce fewer discontinuities or even artifacts in the point cloud borders, comprising the results. Assuming an interest in minimizing this border effect, we have proposed a computational postprocessing algorithm which identifies anomalies and discrpancies and minimize it by recovering the expected intensity of returned laser pulse. The proposed technique operates on the basis of the collected point cloud intensity of return pulse, laser scanner's position and signals divergence, without requiring any kind of previous setup or additional accessory to the laser scanner.

Research paper thumbnail of Studying the spectral behavior of concrete for evaluation non-destructively of resistance in situ

Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, 2016

Concrete is the building material most widely used in the world due to its characteristics, which... more Concrete is the building material most widely used in the world due to its characteristics, which enable the constrution of large buildings, long span bridges or even special artworks. However, many of these structures need repair and reinforcement thus requiring knowledge of concrete properties, among which the most important is their compressive strength. Our main goal in this article is to develop a simple and inex-pensive non-destructivetechnique for assessing in the determination of concrete strenght, based on the con-crete’s spectral behavior, obtained through spectroscopy. The spectral behavior of concrete with different strength classes was conducted and a relationship between the spectral signatures and the resistances was ob-tained, thus validating the proposed technique. Based on the results obtained, we concluded that the analysis of the spectral behavior, through spectroscopy,has the potential to estimate mechanical strength of concrete, pre-senting advantages over conventional methods mainly due to its non-destructive character.

Research paper thumbnail of Immersive Virtual Fieldwork: Advances for the Petroleum Industry

2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2018

Laser scanning and photogrammetry techniques have been broadly adopted by Oil&Gas industry for mo... more Laser scanning and photogrammetry techniques have been broadly adopted by Oil&Gas industry for modeling petroleum reservoir analogues. Beyond the benefits of digital data itself, computer systems employed by geoscientists for interpretation and modeling tasks provide high quality rendering, point clouds surface meshes and photo-realistic textured models. But these systems, commonly, have used 2-D display, the 3-D models and information are projected on the screen, providing a limited visualization and restrictive toolset for interpretation. This work proposes to break this paradigm by developing a fully immersive system capable to virtually teleport the geoscientists to the fieldwork and provide a complete toolset for the outcrop's interpretation. Besides, the system has been evaluated and validated by geologists with different skills and it has emerged as an useful and attractive toolset for Oil&Gas industry.

Research paper thumbnail of Imspector: Immersive System of Inspection of Bridges/Viaducts

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019

One of the main difficulties in the inspection of Bridges/Viaducts by observation is inaccessibil... more One of the main difficulties in the inspection of Bridges/Viaducts by observation is inaccessibility or lack of access throughout the structure. Mapping using remote sensors on Unmanned Aerial Vehicles (UAVs) or by means of laser scanning can be an interesting alternative to the engineer as it can enable more detailed analysis and diagnostics. Such mapping techniques also allow the generation of realistic 3D models that can be integrated in Virtual Reality (VR) environments. In this sense, we present the ImSpector, a system that uses realistic 3D models generated by remote sensors embedded in UAVs that implements a virtual and immersive environment for inspections. As a result, the system provides the engineer a tool to carry out field tests directly at the office, ensuring agility, accuracy and safety in bridge and viaduct inspections.

Research paper thumbnail of Analysis of the influence of distance on data acquisition intensity targets forestry Terrestrial Laser Scanner

SUMMARY The forest sciences as well as other areas of knowledge benefit from technological advanc... more SUMMARY The forest sciences as well as other areas of knowledge benefit from technological advances to develop increasingly their working methods and increase their knowledge of their specific field of study. Are continually developed new equipment and methods to support these applications and, among the equipment and systems developed in recent years, systems for laser scanning and profiling have been consolidated as one of the most effective technologies for geospatial data acquisition. The automated data collection expanded rapidly in recent years, in line with the technological advances made in the areas of surveying and mapping. The scanning systems and laser profiling, also known as Terrestrial Laser Scanner (LST) have some characteristics that apply so important in forest analysis. The LST has the great advantage of being a method of data acquisition and fast non-destructive. In most cases, the equipment Terrestrial Laser Scanner generate its own format file of the data colle...

Research paper thumbnail of Divulgação de dados ambientais e socioeconômicos na internet usando um modelo baseado no uso de ferramentas livres

Um modelo baseado no uso de ferramentas livres e apresentado, visando a publicacao de dados socio... more Um modelo baseado no uso de ferramentas livres e apresentado, visando a publicacao de dados socioeconomicos e ambientais e divulgacao de informacoes na internet. A estrutura deste modelo permite que as informacoes sejam apresentadas sob a forma de tabelas, graficos, fotos ou mapas para a web. A escolha de um determinado formato de apresentacao da informacao e determinada de acordo com os objetivos do desenvolvedor. Como resultado do trabalho, o usuario criara um banco de dados geograficos virtual para gerar informacoes estaticas e mapas interativos para a web. As principais ferramentas utilizadas foram o sistema de informacoes geograficas Spring, banco de dados relacional MySQL, PHP script e o servidor Apache HTTP. Palavras-chave: mapeamento via Web, ferramentas livres, Spring Web, Sistema de Informacao Geografica.

Research paper thumbnail of Estudo da remoção de matéria orgânica carbonácea, nitrogênio amoniacal e fósforo em lixiviado pré-tratado de aterro sanitário empregando typha em wetlands

O lixiviado de aterro sanitario de residuos solidos urbanos e resultado da interacao entre o proc... more O lixiviado de aterro sanitario de residuos solidos urbanos e resultado da interacao entre o processo de biodegradacao da fracao orgânica desses residuos e da infiltracao de aguas pluviais que solubilizam componentes orgânicos e inorgânicos. Para a realizacao do tratamento do efluente em questao, buscam-se solucoes tecnologicas eficientes e de baixo custo, de forma a atender exigencias da maioria das comunidades brasileiras. As tecnicas usuais para tratamento do lixiviado, principalmente lagoas, apresentam uma deficiencia na remocao de nutrientes tais como nitrogenio e fosforo. Neste aspecto acredita-se que unidades do tipo wetlands possam ser uma solucao eficaz para o tratamento do lixiviado, minimamente de forma complementar a outros sistemas previos (aerobios e/ou anaerobios). Foram construidos wetlands de 1,8m, sendo que o genero vegetal escolhido foi a macrofita Typha. Dois wetlands superficiais foram estudados: um de fluxo horizontal (WH), outro de fluxo vertical (WV) e ainda ...

Research paper thumbnail of A Proposed Earthquake Warning System Based on Ionospheric Anomalies Derived From GNSS Measurements and Artificial Neural Networks

The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS) data proc... more The Total Electron Content (TEC) derived from Global Navigation Satellite System (GNSS) data processing has been used as a tool for monitoring earthquakes. The purpose of this study is to bring an alternative approach to the prediction of earthquakes and to determine their magnitudes based on Artificial Neural Networks (ANN) and ionospheric disturbances. For this, the Vertical Total Electron Content (VTEC) data from the National Oceanic and Atmosphere Administration (NOAA) were used to train the ANN. Results show that the ANN process achieved an accuracy of 85.71% in validation assessment to predict Tres Picos Mw=8.2 earthquake from 1:30 UTC to 04:00 UTC, approximately 3 hours before the seismic event. For magnitude classification, the ANN achieved an accuracy of 94.60%. The Matthews Correlation Coefficient (MCC) which takes into account all true/false positives and negatives was also evaluated and showed promising results.

Research paper thumbnail of MOSIS — Multi-outcrop sharing interpretation system

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for crea... more The use of LiDAR and multiples digital images jointly with 3-D reconstruction techniques for creating 3-D models of natural outcrops and surfaces studies have increased dramatically in the last few years. These techniques have provided an enormous amount of data for interpretation by geoscientists. However, these researchers have no available software capable of offering a user experience comparable to the fieldwork. The majority of solutions have considered desktop systems, which presents inherent limitations due to the 2-D characteristics of displays and loss of immersion into the 3-D model, or up until expensive and complex stereoscopic based approaches to improve the 3-D user experience do not offer well suitable solutions. To address these limitations, this paper presents a low-cost completely disruptive solution for processing, visualizing, sharing and directly handling Digital Outcrop Models with the support of a full interpretation toolset, the MOSIS System. The proposed system provides a fully immersive computational environment, capable of teleporting virtually geoscientists to the fieldwork, giving an awareness of being there physically with an extensible toolset for the DOM's interpretation. Besides, desktop, web and mobile versions of MOSIS have been under development and fulfill the lack of tools for digital outcrop modeling.