Feature Papers of Drones - Volume I

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 1–8 are devoted to the developments of drone design, where new concepts and modeling strategies as well as effective designs that improve drone stability and autonomy are introduced. Articles 9–16 focus on the communication aspects of drones as effective strategies for smooth deployment and efficient functioning are required. Therefore, several developments that aim to optimize performance and security are presented. In this regard, one of the most directly related topics is drone swarms, not only in terms of communication but also human-swarm interaction and their applications for science missions, surveillance, and disaster rescue operations. To conclude with the volume I related to drone improvements, articles 17–23 discusses the advancements associated with autonomous navigation, obstacle avoidance, and enhanced flight plannin

Feature Papers of Drones - Volume II

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 24–41 are focused on drone applications, but emphasize two types: firstly, those related to agriculture and forestry (articles 24–35) where the number of applications of drones dominates all other possible applications. These articles review the latest research and future directions for precision agriculture, vegetation monitoring, change monitoring, forestry management, and forest fires. Secondly, articles 36–41 addresses the water and marine application of drones for ecological and conservation-related applications with emphasis on the monitoring of water resources and habitat monitoring. Finally, articles 42–54 looks at just a few of the huge variety of potential applications of civil drones from different points of view, including the following: the social acceptance of drone operations in urban areas or their influential factors; 3D reconstruction applications; sensor technologies to either improve the performance of existing applications or to open up new working areas; and machine and deep learning development

Novel approach for three-dimensional integral documentation of machine rooms in hospitals using portable mobile mapping system

10 p.In this paper, a novel method for the documentation and evaluation of the machine roomsin hospitals is presented. The approach is based on data acquired with a portable mobile mappingsystem (PMMS), GeoSlam Zeb-Revo, which has proved to be effective for three-dimensional (3D) mappingof indoor environments, as well as for 3D modeling of individual thermal and fluid-mechanics equipment.An automatic data processing workflow based on the extraction of quantitative and qualitative geometricalfeatures from the point clouds provided by the PMMS is developed with the aim of evaluating the stateand adequate distributions of machineries and, in this way, generating a complete three-dimensional map ofthe industrial environment to be used for maintenance, inspection, and inventory tasks in accordance withsafety standards. The extracted parameters are statistically tested to evaluate the adequacy of the proposedmethodology and, in this way, demonstrate its potential for the application in the context of hospital facilitiesS

Procesos de ingeniería inversa en elementos de automoción usando Gaming Sensors

Trabajo de Fin de Máster del Máster en Geotecnologías cartográficas en ingeniería y arquitectura, curso 2011-2012.[ES]En los últimos tiempos, el incesante crecimiento que está viviendo el mundo de la ingeniería inversa, nos lleva a plantearnos la búsqueda de unos medios de captura más rápidos que los que se están empleando hasta el momento. Los Gaming Sensors ofrecen una nueva visión dentro de este campo. Su ligereza y rapidez de captura obrarán a favor de estos sensores en contra posición a otros equipos especializados, como son los brazos robóticos. El objetivo principal que se plantea en este proyecto es el análisis de dos sensores completamente distintos, valorando en función de los errores generados, el tiempo de ejecución y su coste económico, hasta qué punto resulta rentable la utilización de uno u otro. Se confrontarán los resultados obtenidos de los modelos CAD finales, a nivel de precisión y exactitud, generados por la Kinect 2 y el brazo robótico Romer Absolute Arm, sirviendo como objeto de estudio el motor de un automóvil

Neogene activity of the Barrancas Bancas Fault and its relationship with Hydrothermal and volcanic activity

The chronology and nature of the Neogene-Cuaternary deformation in the Central Volcanic Zone (CVZ) in the north of Chile is partially unclear. Some authors have identified compression in isolated areas of the western slopes of the Altiplano-Puna Plateau between the 23,5 and 25ºS, which deformed Miocene and Pliocene deposits (e.g. Gonzalez et al., 2009). In this context, Barrancas Blancas fault, located in the western limit of the Western Cordillera, outcrops in a scarp oriented NS and represents a record of the tectonic activity during the Miocene (Gardeweg et al., 1993). This fault affects to Pampa de Mulas gravels (23,6±1,6 Ma) and Rio Frio Ignimbrites (17,3± 1,7 Ma), and is covered by Miocene-to-Holocene alluvial deposits. In the eastern side of Punta Negra Salar was emplaced the Monognetic Punta Negra volcano, located over the Barrancas Blanca-Fault scarp (10±0,8 Ma) and immediately to the south of Punta Negra volcano, travertine deposits are present in the footwall of Barrancas Blancas fault (10-2 Ma; Quade et al., 2017). This work presents the preliminary results from geomorphologic and stratigraphic data, and structural analysis from Barrancas Blancas fault, and the sediment wedge related with the fault scarpament. These results were combined with geochronological data from magmatic and hydrothermal related rocks/minerals, with the objetive to rebuild the activity of Barrancas Blancas fault and its relation with the magmatic activity during Miocene-Pliocene. Our results show that Barrancas Blancas fault has reverse displacement during Lower Miocene, which caused folding of the Rio Frio ignimbrite and Pampa de Mulas Formation. This period has a maximum age of 11,7 Ma and can be related to the local uplift of the Altiplano-Puna plateau. Using a cinematic analysis, we have identified a period with transtensional activity for Barrancas Blancas fault, which had been coeval with magmatic/hydrothermal activity, the last represented by monogenetic (Punta Negra volcano, ca. 10 Ma) and geothermal activity. The hydrothermal activity in the Barrancas Blancas fault would have lasted until to ca. 2 Ma, coeval with the depositation of alluvial fans related with the scarp backward movement. Our hypothesis suggests that transtensional activity of the Barrancas Blancas fault is related with the uplift and local collapse of the Altiplano

Automatic road inventory using a low-cost mobile mapping system and based on a semantic segmentation deep learning model

Road maintenance is crucial for ensuring safety and government compliance, but manual measurement methods can be time-consuming and hazardous. This work proposes an automated approach for road inventory using a deep learning model and a 3D point cloud acquired by a low-cost mobile mapping system. The road inventory includes the road width, number of lanes, individual lane widths, superelevation, and safety barrier height. The results are compared with a ground truth on a 1.5 km subset of road, showing an overall intersection-over-union score of 84% for point cloud segmentation and centimetric errors for road inventory parameters. The number of lanes is correctly estimated in 81% of cases. This proposed method offers a safer and more automated approach to road inventory tasks and can be extended to more complex objects and rules for road maintenance and digitalization. The proposed approach has the potential to pave the way for building digital models from as-built infrastructure acquired by mobile mapping systems, making the road inventory process more efficient and accurate.Agencia Estatal de Investigación | Ref. RYC2021-033560-ICentro para el Desarrollo Tecnológico Industrial | Ref. IDI-2018111

Automatic Generation of Urban Road 3D Models for Pedestrian Studies From LiDAR Data

[Abstract] The point clouds acquired with a mobile LiDAR scanner (MLS) have high density and accuracy, which allows one to identify different elements of the road in them, as can be found in many scientific references, especially in the last decade. This study presents a methodology to characterize the urban space available for walking, by segmenting point clouds from data acquired with MLS and automatically generating impedance surfaces to be used in pedestrian accessibility studies. Common problems in the automatic segmentation of the LiDAR point cloud were corrected, achieving a very accurate segmentation of the points belonging to the ground. In addition, problems caused by occlusions caused mainly by parked vehicles and that prevent the availability of LiDAR points in spaces normally intended for pedestrian circulation, such as sidewalks, were solved in the proposed methodology. The innovation of this method lies, therefore, in the high definition of the generated 3D model of the pedestrian space to model pedestrian mobility, which allowed us to apply it in the search for shorter and safer pedestrian paths between the homes and schools of students in urban areas within the Big-Geomove project. Both the developed algorithms and the LiDAR data used are freely licensed for their use in further research.This research study was funded by the Directorate-General for Traffic of Spain, grant number SPIP2017-0234

Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea

Historical city centers are complex scenarios to be reconstructed in 3D. Advances in automated 3D reconstruction are useful to apply urban analysis that otherwise will require a lot of human effort. In this paper, urban parameters are automatically derived to quantify the urban analysis in historical city centers. Particularly, an aerial photogrammetric flight is used as input data to reconstruct 3D models of buildings with metric capabilities. The results reveal that geometric information of buildings (heights, areas and volumes) and urban density attributes (building coverage ratio and floor area ratio) plays an essential role in the design, planning and management of historical cities. The approach developed was validated in the historical city center of Trento (Italy) using cadastral data and a mobile mapping system (MMS) as ground-truth.Los centros urbanos históricos son escenarios complejos para su reconstrucción tridimensional. Los avances en la reconstrucción automática son de gran utilidad para realizar análisis urbanísticos que de otra manera requerirían un elevado esfuerzo humano. En este artículo, se derivarán de forma automática parámetros urbanísticos para el análisis de los centros históricos. En particular, se utiliza un vuelo fotogramétrico como base para la obtención de modelos 3D de edificios con propiedades métricas. Los resultados revelan que la información geométrica de los edificios (alturas, áreas y volúmenes) y los atributos de densidad urbana (intensidad de ocupación del suelo en 2D y 3D) juegan un papel esencial en el diseño, planificación y gestión de los centros históricos. El enfoque propuesto fue validado en el centro histórico de la ciudad de Trento (Italia) utilizando datos catastrales y un sistema de cartografiado móvil como referencia geométrica

Reconstrucción de edificios y análisis urbanístico de centros históricos con fotogrametría aérea

[EN] Historical city centers are complex scenarios to be reconstructed in 3D. Advances in automated 3D reconstruction are useful to apply urban analysis that otherwise will require a lot of human effort. In this paper, urban parameters are automatically derived to quantify the urban analysis in historical city centers. Particularly, an aerial photogrammetric flight is used as input data to reconstruct 3D models of buildings with metric capabilities. The results reveal that geometric information of buildings (heights, areas and volumes) and urban density attributes (building coverage ratio and floor area ratio) plays an essential role in the design, planning and management of historical cities. The approach developed was validated in the historical city center of Trento (Italy) using cadastral data and a mobile mapping system (MMS) as ground-truth.[ES] Los centros urbanos históricos son escenarios complejos para su reconstrucción tridimensional. Los avances en la reconstrucción automática son de gran utilidad para realizar análisis urbanísticos que de otra manera requerirían un elevado esfuerzo humano. En este artículo, se derivarán de forma automática parámetros urbanísticos para el análisis de los centros históricos. En particular, se utiliza un vuelo fotogramétrico como base para la obtención de modelos 3D de edificios con propiedades métricas. Los resultados revelan que la información geométrica de los edificios (alturas, áreas y volúmenes) y los atributos de densidad urbana (intensidad de ocupación del suelo en 2D y 3D) juegan un papel esencial en el diseño, planificación y gestión de los centros históricos. El enfoque propuesto fue validado en el centro histórico de la ciudad de Trento (Italia) utilizando datos catastrales y un sistema de cartografiado móvil como referencia geométrica.S