The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application

Samad, Abd Manan; Kamarulzaman, Nazrin; Hamdani, Muhammad Asyraf; Mastor, Thuaibatul Aslamiah; Hashim, Khairil Afendy

doi:10.1109/icsengt.2013.6650191

Cited by 102 publications

(33 citation statements)

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“…This is thanks, above all, to their flexibility of use and low cost compared to traditional photogrammetric flights using expensive metric digital cameras or LiDAR sensors [2]. UAV systems were used first for military purposes [3] and later for civilian ones [4], such as agricultural and forest management (precision farming, assessment of woodlots, fire surveillance, etc.)…”

Section: Introductionmentioning

confidence: 99%

The Use of Nadir and Oblique UAV Images for Building Knowledge

Vacca

Dessì

Sacco³

2017

IJGI

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This paper focuses on the processing and study of 3D models obtained from images captured by an unmanned aerial vehicle (UAV). In particular, we wanted to study the accuracy gains achieved in the surveying and the measurement, such as height, area, and volume, of the dimensions of the buildings in the 3D models obtained with both nadir and oblique UAV flights. These latter types of flights are particularly suitable for the 3D modeling of cities or urban agglomerations, where it is important to achieve a complete building reconstruction, including façades and footprints of buildings. For this purpose, several UAV surveys with both nadir and oblique axes were performed. The nadir flight acquired images over an area of about 3.5 hectares containing 30 buildings, while the second flight, performed with both a nadir camera and an oblique camera, was conducted on a single building. The images from the flights were processed with Photoscan software by Agisoft and with Pix4D, studying their different potentialities and functionality. The results were compared with the data from the 1:2000 scale Geotopographic Database (DBGT), with the results of a Global Navigation Satellite System (GNSS) survey and with 3D model from the Terrestrial Laser Scanner (TLS) survey. The obtained results have shown that oblique UAV flights increase the achievable accuracy both in terms of the number of points in a point cloud, and in the in measurements taken on the 3D models, with respect to the limited cost, and at the increase in time for surveying and image processing.

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Section: Introductionmentioning

confidence: 99%

The Use of Nadir and Oblique UAV Images for Building Knowledge

Vacca

Dessì

Sacco³

2017

IJGI

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“…Su capacidad de volar manteniendo su posición en un mismo punto, maniobra conocida como hovering, junto con vuelos de baja velocidad de desplazamiento, le permiten tomar imágenes que pueden ser utilizadas en diversas aplicaciones, por ejemplo fotografía deportiva, monitoreo ambiental [2], inspección de zonas peligrosas o de desastres [3], relevamiento de cultivos y otro tipo de terrenos [4], etc.…”

Section: Introductionunclassified

Double coupling between inertial sensors and visual odometry in multicopters

Paz

Nesmachnow

2017

2017 XLIII Latin American Computer Conference (CLEI)

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Abstract-This article presents a system for determining the position and orientation of unmanned aerial vehicles. The system has two hardware layers coupled in both directions. One layer stabilizes the vehicle while the other determines lateral displacements. The two-directional coupling between layers allows the system to minimize estimation errors. The proposed implementation is evaluated on real hardware and evaluation results show that a real time implementation is feasible.Keywords-Unmanned Aerial Vehicles, Visual Odometry, Inertial Sensors, Extended Kalman Filter. I. INTRODUCCIÓNLos vehículos aéreos no tripulados (VANT o UAV, acrónimo de Unmanned Aerial Vehicles), y en particular los multicópte-ros, han tenido un crecimiento exponencial en laúltima década debido a su relativo bajo costo de construcción y a los numerosos recursos de software y hardware disponible [1]. Su capacidad de volar manteniendo su posición en un mismo punto, maniobra conocida como hovering, junto con vuelos de baja velocidad de desplazamiento, le permiten tomar imágenes que pueden ser utilizadas en diversas aplicaciones, por ejemplo fotografía deportiva, monitoreo ambiental [2], inspección de zonas peligrosas o de desastres [3], relevamiento de cultivos y otro tipo de terrenos [4], etc.Los multicópteros cuentan con distintos tipos de sensores, incluyendo acelerómetros y giróscopos, conocidos como sensores inerciales, que permiten su estabilización en el aire [5]; telémetros para determinar la distancia del vehículo hasta el suelo [6]; y suelen utilizar cámaras de bajo costo para determinar los desplazamientos laterales, generalmente utilizando detectores de características y flujoóptico [7].Debido a que los multicópteros tienen sus hélices fijas, para desplazarse deben perder balance en la dirección que se desea el movimiento. En ese momento, el telémetro que se utiliza para determinar la altitud pierde la perpendicularidad de su eje sensible respecto del plano formado por el suelo, por lo que su lectura es errónea si se considera directamente como altura. En esta situación se produce una pérdida de sustentación por dos motivos: el primero tiene que ver con la pérdida de empuje en sentido vertical ya que para una misma fuerza de empuje aparece una componente horizontal para producir el desplazamiento lateral, disminuyendo el módulo de la componente vertical; el segundo es que, para evitar esta pérdida se utiliza información proveniente del sensor de altura, que devuelve una lectura mayor a la distancia real al suelo por lo que el controlador disminuye el empuje para compensar este incremento en la distancia. De compensarse la altura en el segundo caso, indirectamente se evitaría la pérdida de sustentación por el primero.La Figura 1 presenta el esquema de fusión propuesto para determinar posición y orientación. Se identifican los dos bloques más importantes del esquema propuesto: el autopiloto y el módulo de odometría visual. En el autopiloto, por medio de un filtro de Kalman extendido (Extended Kalman filter, EKF), se determina la or...

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“…UAVs are widely used both in military and civil application [1,2] such as fire prevention and emergency operations, surveillance, search and rescue. UAVs can be also applied in precision farming applications [3], instead of using wireless networks, or in the estimation of air pollutant emissions [4,5].…”

Section: Introductionmentioning

confidence: 99%

A fuzzy controller to reduce power consumption in a quadrotor helicopter for environmental monitoring

Pau

Tesoriere

Tirrito

2015

AIP Conference Proceedings

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The Unmanned Aerial Vehicles (UAV) are aircrafts with no pilot on board. They can be remote controlled aircraft (e.g. flown by a pilot at a ground control station) or can fly autonomously based on pre-programmed flight plans or more complex dynamic automation systems. UAVs are currently used both in military and civil application. A key element of UAV equipment affecting the mission performance is power source for this reason several approaches can be applied in order to reduce the power consumption. Fuzzy Logic Controllers (FLCs) are becoming increasingly popular in everyday life and their applications can obtain significant benefits in terms of energy management. In this paper a FLC is proposed in order to regulate the motor power of a quadrotor helicopter according to the battery level and to the path to complete. Simulation results reveal that using the proposed approach the battery lifetime is increased by 30% with respect to the use of fixed power.

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The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application

Cited by 102 publications

References 0 publications

The Use of Nadir and Oblique UAV Images for Building Knowledge

The Use of Nadir and Oblique UAV Images for Building Knowledge

Double coupling between inertial sensors and visual odometry in multicopters

A fuzzy controller to reduce power consumption in a quadrotor helicopter for environmental monitoring

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