2,238 research outputs found
A Scalable Low-Cost-UAV Traffic Network (uNet)
This article proposes a new Unmanned Aerial Vehicle (UAV) operation paradigm
to enable a large number of relatively low-cost UAVs to fly
beyond-line-of-sight without costly sensing and communication systems or
substantial human intervention in individual UAV control. Under current
free-flight-like paradigm, wherein a UAV can travel along any route as long as
it avoids restricted airspace and altitudes. However, this requires expensive
on-board sensing and communication as well as substantial human effort in order
to ensure avoidance of obstacles and collisions. The increased cost serves as
an impediment to the emergence and development of broader UAV applications. The
main contribution of this work is to propose the use of pre-established route
network for UAV traffic management, which allows: (i) pre- mapping of obstacles
along the route network to reduce the onboard sensing requirements and the
associated costs for avoiding such obstacles; and (ii) use of well-developed
routing algorithms to select UAV schedules that avoid conflicts. Available
GPS-based navigation can be used to fly the UAV along the selected route and
time schedule with relatively low added cost, which therefore, reduces the
barrier to entry into new UAV-applications market. Finally, this article
proposes a new decoupling scheme for conflict-free transitions between edges of
the route network at each node of the route network to reduce potential
conflicts between UAVs and ensuing delays. A simulation example is used to
illustrate the proposed uNet approach.Comment: To be submitted to journal, 21 pages, 9 figure
A New Approach to Complex Dynamic Geofencing for Unmanned Aerial Vehicles
The anticipated widespread use of unmanned aerial vehicles (UAVs) raises
significant safety and security concerns, including trespassing in restricted
areas, colliding with other UAVs, and disrupting high-traffic airspaces. To
mitigate these risks, geofences have been proposed as one line of defence,
which limit UAVs from flying into the perimeters of other UAVs and restricted
locations. In this paper, we address the concern that existing geometric
geofencing algorithms lack accuracy during the calculation of complex
geofences, particularly in dynamic urban environments. We propose a new
algorithm based on alpha shapes and Voronoi diagrams, which we integrate into
an on-drone framework using an open-source mapping database from OpenStreetMap.
To demonstrate its efficacy, we present performance results using Microsoft's
AirSim and a low-cost commercial UAV platform in a real-world urban
environment.Comment: Accepted to the 40th IEEE Digital Avionics Systems Conferenc
Distributed approaches for coverage missions with multiple heterogeneous UAVs for coastal areas.
This Thesis focuses on a high-level framework proposal for heterogeneous aerial, fixed wing teams of robots, which operate in complex coastal areas. Recent advances in the computational capabilities of modern processors along with the decrement of small scale aerial platform manufacturing costs, have given researchers the opportunity to propose efficient and low-cost solutions to a wide variety of problems. Regarding marine sciences
and more generally coastal or sea operations, the use of aerial robots brings forth a number of advantages, including information redundancy and operator safety. This Thesis initially deals with complex coastal decomposition in relation with a vehicles’ on-board sensor. This decomposition decreases the computational complexity of planning a flight path, while respecting various aerial or ground restrictions. The sensor-based area decomposition also facilitates a team-wide heterogeneous solution for any team of aerial
vehicles. Then, it proposes a novel algorithmic approach of partitioning any given complex area, for an arbitrary number of Unmanned Aerial Vehicles (UAV). This partitioning schema, respects the relative flight autonomy capabilities of the robots, providing them a corresponding region of interest.
In addition, a set of algorithms is proposed for obtaining coverage waypoint plans for those areas. These algorithms are designed to afford the non-holonomic nature of fixed-wing vehicles and the restrictions their dynamics impose. Moreover, this Thesis also proposes a variation of a well-known path tracking algorithm, in order to further reduce the flight error of waypoint following, by introducing intermediate waypoints and providing an autopilot parametrisation. Finally, a marine studies test case of buoy information extraction is presented, demonstrating in that manner the flexibility and modular nature of the proposed framework.Esta tesis se centra en la propuesta de un marco de alto nivel para equipos heterogéneos de robots de ala fija que operan en áreas costeras complejas. Los avances recientes en las capacidades computacionales de los procesadores modernos, junto con la disminución de los costes de fabricación de plataformas aéreas a pequeña escala, han brindado a
los investigadores la oportunidad de proponer soluciones eficientes y de bajo coste para enfrentar un amplio abanico de cuestiones. Con respecto a las ciencias marinas y, en términos más generales, a las operaciones costeras o marítimas, el uso de robots aéreos conlleva una serie de ventajas, incluidas la redundancia de la información y la seguridad del operador. Esta tesis trata inicialmente con la descomposición de áreas costeras complejas en relación con el sensor a bordo de un vehículo. Esta descomposición disminuye la complejidad computacional de la planificación de una trayectoria de vuelo, al tiempo que respeta varias restricciones aéreas o terrestres. La descomposición del área basada en sensores también facilita una solución heterogénea para todo el equipo para cualquier equipo de vehículos aéreos.
Luego, propone un novedoso enfoque algorítmico de partición de cualquier área compleja dada, para un número arbitrario de vehículos aéreos no tripulados (UAV). Este esquema de partición respeta las capacidades relativas de autonomía de vuelo de los robots, proporcionándoles una región de interés correspondiente. Además, se propone un conjunto de algoritmos para obtener planes de puntos de cobertura para esas áreas. Estos algoritmos están diseñados teniendo en cuenta la naturaleza no holonómica de los vehículos de ala fija y las restricciones que impone su dinámica.
En ese sentido, esta Tesis también ofrece una variación de un algoritmo de seguimiento de rutas bien conocido, con el fin de reducir aún más el error de vuelo del siguiente punto de recorrido, introduciendo puntos intermedios y proporcionando una parametrización del piloto automático. Finalmente, se presenta un caso de prueba de estudios marinos de extracción de información de boyas, que demuestra de esa manera la flexibilidad y el
carácter modular del marco propuesto
UAV Navigation System for Prescribed Fires
Since the beginning of mankind, a lot of fires have happened and have taken millions
of lives, whether they were human or animal lives.
On average, there are about twenty thousand forest fires annually in the world and the
burnt area is one per thousand of the total forest area on Earth. In the last years, there
were a lot of big fires such as the fires in Pedrogão Grande, Portugal, the SoCal fires in the
US coast, the big fire in the Amazon Forest in Brazil and the bush fires in Australia, later
2019.
When fires take such dimensions, they can also cause several environmental and
health problems. These problems can be damage to millions of hectares of forest resources,
the evacuation of thousands of people, burning of homes and devastation of
infrastructures. When a big fire starts, the priority is the rapid rescue of lives and then,
the attempt to control the fire. In these scenarios, autonomous robots are a very good
assistance because they can help in the rescue missions and monitoring the fire. These
autonomous robots include the unmanned aerial vehicle, or commonly called the UAV.
This dissertation begins with an intensive research on the work that has already
been done relative to this subject. It will then continue with the testing of different simulators
and see which better fits for this type of work. With this, it will be implemented
a simulation that can represent fires and has physics for test purposes, in order to test
without causing any material damage in the real world.
After the simulation part is done, algorithm testing and bench marking are expected,
in order to compare different algorithms and see which are the best for this type of
applications. If everything goes according to plan, in the end, it is expected to have an
autonomous navigation system for UAVs to navigate through burnt areas and wildfires
to monitor the development of these.Desde o início da humanidade muitos incêndios têm acontecido e têm levado milhões
de vidas, quer estas sejam humanas ou animais. Em média, no planeta, existem
cerca de vinte mil incêndios florestais anualmente e a área queimada é um por mil da
área total de florestas do mundo e na última década, houveram grandes incêndios. Alguns
destes são os de Pedrogrão Grande, em Portugal, os incêndios no sul da Califórnia, na
costa dos EUA, o incêndio que deflagrou na floresta Amazónia, no Brasil e os incêndios
na Austrália, no final de 2019.
Quando os incêndios assumem estas dimensões, podem vir a causar vários problemas
ambientais e de saúde. Estes problemas podem ser danos a milhões de hectares de
recursos florestais, a evacuação de milhares de pessoas e podem haver habitações e infraestruturas
ardidas.
Quando um grande incêndio começa, a primeira prioridade é o resgate rápido e de seguida
a tentativa de controlar o incêndio. Nestes cenários, robôs autónomos são uma
excelente assistência. Estes robôs incluem o veículo aéreo não tripulado, o UAV.
Esta dissertação começa com uma intensa pesquisa sobre o trabalho já realizado
em relação a este tema. De seguida, vários testes irão ser realizados para testar diferentes
simuladores e ver qual melhor se adapta ao trabalho que se irá realizar. Com isto, será
implementada uma simulação que consiga representar um incêndio e suporte várias
fisícas do mundo real.
Após a secção da simulação estar concluída, espera-se vários testes de algoritmos e
comparação entre eles, para ver qual o que se adequa melhor a este tipo de situações.
Se tudo correr conforme planeado, é esperado no final desta dissertação ter-se um sistema
de navegação autónoma para UAVs percorrem áreas florestais e ser possível monitorizar
incêndios
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