MISSION-ORIENTED SENSOR ARRAYS AND UAVs – A CASE STUDY ON ENVIRONMENTAL MONITORING

Figueira, Nina Machado; Freire, I. L.; Trindade, Onofre; Simoes, E. V.

doi:10.5194/isprsarchives-xl-1-w4-305-2015

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…Arrays that follow a uniformly distributed design are useful for blanket sampling (Figueira, Freire, Trindade, & Simões, 2015;Sberze, Cohn-Haft, & Ferraz, 2010). This type of array application often requires spacing recording systems far enough from one another so that the sound emitted by a single individual will not be picked up by sensors of different systems.…”

Section: Array Designsmentioning

confidence: 99%

Bioacoustics in cognitive research: Applications, considerations, and recommendations

Gentry

Lewis

Glanz

et al. 2020

WIRES Cognitive Science

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Section: Array Designsmentioning

confidence: 99%

Bioacoustics in cognitive research: Applications, considerations, and recommendations

Gentry

Lewis

Glanz

et al. 2020

WIRES Cognitive Science

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“…According to [22], UAVs have great potential for commercial, scientific and research applications, and the use of professional civilian UAVs around the world is growing rapidly. UAVs help in providing spatial data for civil engineering, mining, GIS, geology, construction and many others [8]. Owing to the almost unlimited possibility of collecting information, UAVs have found a number of applications also in geodesy, cartography, archaeology, cultural heritage, technical and architectural documentation, modelling of buildings, monuments and landscape [7].…”

Section: Introductionmentioning

confidence: 99%

Archives of Civil Engineering

Kwoczyńska,

Małysa

2022

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Currently, the possibilities offered by measurement techniques allow development of both cities in the form of 3D models as well as models of small and large architecture objects. Depending on the needs, the scale of an examined object or the intended use of the final product, geodesy finds readymade measurement methods. If one wants to work out a 3D model of a building object in detail, the most accurate way is to use laser scanning technology. However, there are situations in which limitations resulting from the terrain layout or the structure of the building preclude to obtain full information about its shape. In such situations, the solution is to integrate data from various measurement devices. If creating a full 3D model of large buildings, the best choice to complete data, especially the roof of the object, is to use an unmanned aerial platform, because the resolution of images made on a low altitude is good enough to obtain a satisfactory effect in the form of a point cloud. The research used integration of data obtained at low altitude from two unmanned aerial vehicles, Fly-Tech DJI S1000 and DJI Phantom 3 Advanced -using various types of missions -with data recorded with the Leica ScanStation P40 terrestrial laser scanner. The data was integrated by giving them a common coordinate system -in this case the 2000 system, for the grid points measured in the field with the GNSS technique, and the use of Cyclone, Metashape and Pix4D software for this purpose. Combined point clouds were used for 3D modelling of the sacred object with Bentley CAD software. The accuracy with which data integration was performed and errors resulting from the use of various measurement techniques were determined. The result of the study is a 3D model of the Church of Our Lady of Consolation, located in Krakow at the Sportowe estate.

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“…Ground, underwater and aerial robots are widely used for environmental monitoring and target detection missions [ 1 , 2 , 3 , 4 , 5 ]. Among these robots, UAVs use ground control stations to plan a path to a goal before flying, using Global Positioning System (GPS) sensors as their source of localisation [ 6 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments

Vanegas

Gonzalez

2016

Sensors

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Unmanned Aerial Vehicles (UAV) can navigate with low risk in obstacle-free environments using ground control stations that plan a series of GPS waypoints as a path to follow. This GPS waypoint navigation does however become dangerous in environments where the GPS signal is faulty or is only present in some places and when the airspace is filled with obstacles. UAV navigation then becomes challenging because the UAV uses other sensors, which in turn generate uncertainty about its localisation and motion systems, especially if the UAV is a low cost platform. Additional uncertainty affects the mission when the UAV goal location is only partially known and can only be discovered by exploring and detecting a target. This navigation problem is established in this research as a Partially-Observable Markov Decision Process (POMDP), so as to produce a policy that maps a set of motion commands to belief states and observations. The policy is calculated and updated on-line while flying with a newly-developed system for UAV Uncertainty-Based Navigation (UBNAV), to navigate in cluttered and GPS-denied environments using observations and executing motion commands instead of waypoints. Experimental results in both simulation and real flight tests show that the UAV finds a path on-line to a region where it can explore and detect a target without colliding with obstacles. UBNAV provides a new method and an enabling technology for scientists to implement and test UAV navigation missions with uncertainty where targets must be detected using on-line POMDP in real flight scenarios.

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MISSION-ORIENTED SENSOR ARRAYS AND UAVs – A CASE STUDY ON ENVIRONMENTAL MONITORING

Cited by 9 publications

References 11 publications

Bioacoustics in cognitive research: Applications, considerations, and recommendations

Bioacoustics in cognitive research: Applications, considerations, and recommendations

Archives of Civil Engineering

Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments

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