Image Processing and Localization for Detecting and Tracking Wildland Fires

2015 ◽  
Author(s):  
Anoop Sathyan ◽  
Manish Kumar ◽  
Kelly Cohen
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Wildland Fire ◽  
Wildland Fires ◽  
Geological Data ◽  
Human Presence ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Video Feed ◽  
Elevation Model

Unmanned Aerial Vehicles (UAVs) are being used for a wide variety of applications including detecting and tracking wildland fires. Using UAVs for fire-fighting purposes reduces the human involvement for this high risk job. Such a mission involves locating the wildland fire, tracking the direction of spread of the fire and searching for human presence in the region. This paper investigates the algorithmic development for the use of UAVs to detect and track wildland fires. This would involve using the fuzzy toolbox in MATLAB along with MICRODEM, a software which provides the Digital Elevation Model (DEM) for the region. The objective of this research is to accomplish the following: 1) use genetic fuzzy based image processing tools to identify fire from the video feed obtained from the camera attached to the UAV in real time 2) look for human presence in the region and 3) estimate the location of the fire based on the geological data available for the region.

scholarly journals Unmanned Aerial Vehicles for Wildland Fires: Sensing, Perception, Cooperation and Assistance

Drones ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 15
Author(s):  
Moulay A. Akhloufi ◽  
Andy Couturier ◽  
Nicolás A. Castro
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Wildland Fire ◽  
Fire Intensity ◽  
Economic Losses ◽  
Small Scale ◽  
Environmental Damage ◽  
Unmanned Aerial Systems ◽  
Wildland Fires ◽  
Natural Risk ◽  
Aerial Vehicles

Wildfires represent a significant natural risk causing economic losses, human death and environmental damage. In recent years, the world has seen an increase in fire intensity and frequency. Research has been conducted towards the development of dedicated solutions for wildland fire assistance and fighting. Systems were proposed for the remote detection and tracking of fires. These systems have shown improvements in the area of efficient data collection and fire characterization within small-scale environments. However, wildland fires cover large areas making some of the proposed ground-based systems unsuitable for optimal coverage. To tackle this limitation, unmanned aerial vehicles (UAV) and unmanned aerial systems (UAS) were proposed. UAVs have proven to be useful due to their maneuverability, allowing for the implementation of remote sensing, allocation strategies and task planning. They can provide a low-cost alternative for the prevention, detection and real-time support of firefighting. In this paper, previous works related to the use of UAV in wildland fires are reviewed. Onboard sensor instruments, fire perception algorithms and coordination strategies are considered. In addition, some of the recent frameworks proposing the use of both aerial vehicles and unmanned ground vehicles (UGV) for a more efficient wildland firefighting strategy at a larger scale are presented.

scholarly journals Digital Elevation Model Production Using Point Cloud Acquired by Unmanned Aerial Vehicles

2020 ◽  
Vol 32 (12) ◽  
pp. 4347
Author(s):  
Suk Bae Lee ◽  
Jae Ho Won ◽  
Kap Yong Jung ◽  
Mihwa Song ◽  
Young Joon Ahn
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Model ◽  
Point Cloud ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Elevation Model

scholarly journals Redes sociais e bibliometria sobre a utilização de VANTs no mapeamento do risco hidrológico em áreas urbanas

2021 ◽  
Vol 10 (14) ◽  
pp. e319101422078
Author(s):  
Andrey Gaspar Sorrilha Rodrigues ◽  
Alesson Pires Maciel Guirra ◽  
Daniella Nunes Silveira ◽  
Amanda Letícia Abegg da Silveira ◽  
Jéssica Rabito Chaves ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Model ◽  
Web Of Science ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Elevation Model

Este estudo visa realizar pesquisas na base de dados Scopus e Web of Science sob o intuito de procurar trabalhos relativos ao mapeamento hídrico com o enfoque em áreas de risco utilizando VANTs. O software VOSViewer, gera infográficos fundamentados no sistema de nós exibindo os principais termos da pesquisa, autores, elementos recorrentes e palavras-chave. Categorizando os trabalhos, de forma quantitativa, em autores colaboradores, abordagem referente ao tema, tipos de publicações, principais revistas, índices, principais países, redes de colaboração e palavras-chaves, indicou os principais trabalhos pertinentes ao tema, em que, esses foram discutidos para a verificação de como o tema é abordado. 91,15% dos trabalhos estão escritos em inglês, sendo os EUA o segundo país que mais publica sobre, na retaguarda da China. Os principais termos concatenados a pesquisa são UAV – Unmanned Aerial Vehicles, Photogrammetry e DEM - Digital elevation Model, que fazem alusão ao uso de VANTs para obtenção do MDE e MDS pelo método fotogramétrico. Dentre os trabalhos, 10 apresentaram material metodológico e resultados promissores na utilização de VANT ́para mapeamento de risco hidrológico, com destaque aos trabalhos de Mazzoleni, Muthusamy Annis, Luppichini, que apresentam softwares de processamento de imagem (Agisoft PhotoScan) e de simulações hidrodinâmicas de águas pluviais e fluviais (FLO-2D e HEC-RAS). Logo, esse estudo viabilizou reconhecer condutas metodológicas, tendências, dificuldades e as vantagens da ferramenta VANT, na aplicação técnica, como alta precisão, custo relativamente baixo e alcance em áreas de difícil acesso.

The Use of Unmanned Aerial Vehicles to Assess the Intensity of Manifestation of Dangerous Coastal Processes in the Water Protection Zone of the Tsimlyansk Reservoir

2021 ◽  
pp. 56-65
Author(s):  
Olga V. Ivlieva ◽  
Lyudmila A. Bespalova ◽  
Vadim V. Glinka ◽  
Larisa V. Serdyuk ◽  
Alexander A. Chmykhov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Coastal Processes ◽  
Water Protection ◽  
Protection Zone ◽  
Tsimlyansk Reservoir ◽  
Average Value ◽  
Erosion Processes ◽  
Aerial Vehicles ◽  
Digital Elevation ◽  
Landslide Processes

The water protection zone of the Tsimlyansk reservoir was chosen as the object of research. The subject of the study was the assessment of the intensity of manifestation of dangerous coastal processes of the reservoir: abrasion-latency, erosion activity. A method for monitoring erosion processes in water protection zones of water bodies using a software and hardware complex based on unmanned aerial vehicles and GIS technologies has been developed and tested. The optimal type of digital elevation models has been determined for assessing the density of the erosion net-work, determining the types of banks and the intensity of manifestation of abrasion and landslide processes, measuring the morphometric characteristics of erosional landforms. The types of erosional landforms were determined and the zoning of the territory of the water protection zone of the Tsimlyansk reservoir was carried out according to the density of the erosional dissection of the relief. Studies have shown that the predominant erosional forms of the relief of the water protection zone of the Tsimlyansk reservoir are ravines and gullies. The maximum average value of the density of the erosional network of the relief within the boundaries of the administrative districts of the reservoir coast falls on the Surovikinsky district. In the Kalachevsky district, the maximum value of the density of the erosion network is noted within the water protection zone of the Tsimlyansk reservoir.

Creating Digital Elevation Models Using Budget Unmanned Aerial Vehicles

2021 ◽  
pp. 37-48
Author(s):  
Andrii Achasov ◽  
Arkadiy Siedov ◽  
Alla Achasova ◽  
Ganna Titenko ◽  
Oleg Seliverstov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Models ◽  
Aerial Vehicles ◽  
Digital Elevation

scholarly journals The development of modern automated image processing and transfer systems for agriculture unmanned aerial vehicles

2020 ◽  
Vol 161 ◽  
pp. 01087 ◽  
Author(s):  
Marina Vasileva ◽  
Ilyas Ismagilov ◽  
Alexander Gerasimov
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Crop Yields ◽  
Walsh Functions ◽  
Aerial Vehicles ◽  
Transmission Of Information ◽  
High Resolution Images ◽  
Automated Image Processing

The paper contains results of analytic research of unmanned aerial vehicles using in agriculture. The main problems arising in the creation and subsequent large volumes of high-resolution images real time transfer in unmanned aerial vehicles are highlighted. The Automated image processing and transfer system using new methods of information compression on unmanned aerial vehicles board is proposed. The paper considers the issues of consider the problems of constructing new orderings of Walsh functions and constructing fast compression algorithms in synthesized systems of discrete Walsh functions. For processing and subsequent transmission of information from UAVs recommended to use the fast DWT procedure, it allows for a hardware implementation capable of the real-time conversion performing due to its simplicity. The introduction of the proposed solutions for UAVs in agriculture allows to increase accurasy of electronic cartographic material, to keep electronic records of agricultural operations, to carry out operational monitoring of the crops state and to respond quickly for violations and deviations, to predict crop yields and plan their activities for short-term and long-term prospects.

Generation of Highly Accurate Digital Elevation Models with Unmanned Aerial Vehicles

2016 ◽  
Vol 31 (154) ◽  
pp. 143-165 ◽  
Author(s):  
Yuriy Reshetyuk ◽  
Stig-Göran Mårtensson
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Digital Elevation Models ◽  
Aerial Vehicles ◽  
Digital Elevation

scholarly journals Selected elements of visual inspection of the collision avoidance system for light and unmanned aircraft

2019 ◽  
Vol 20 (1-2) ◽  
pp. 265-271 ◽  
Author(s):  
Grzegorz Jaromi ◽  
Damian Kordos ◽  
Tomasz Rogalski ◽  
Paweł Rzucidło ◽  
Piotr Szczerba
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Main Part ◽  
Visual Inspection ◽  
Unmanned Aircraft ◽  
Collision System ◽  
Aerial Vehicles ◽  
Collision Avoidance System ◽  
Formal Requirements

The work discusses selected elements of research and practical tests of the vision anti-collision system, designed for ultralight and light aircraft and unmanned aerial vehicles. At the outset, current formal requirements related to the necessity of installing anti-collision systems on aircraft are presented. The concept of IDAAS (Intruder Detection And collision Avoidance System for light aircraft) and the structure of algorithms related to image processing were presented. The main part of the work is to discuss the selected scenarios implemented during the research.

scholarly journals Secure UAV-Based System to Detect Small Boats Using Neural Networks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Moisés Lodeiro-Santiago ◽  
Pino Caballero-Gil ◽  
Ricardo Aguasca-Colomo ◽  
Cándido Caballero-Gil
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Image Processing ◽  
Deep Learning ◽  
Unmanned Aerial Vehicles ◽  
High Sensitivity ◽  
Search And Rescue ◽  
Detection Systems ◽  
Aerial Vehicles ◽  
Current Detection

This work presents a system to detect small boats (pateras) to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles (UAV) combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people (who may need to be rescued), kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications.

Automated Image Processing Workflow for Unmanned Aerial Vehicles

2021 ◽  
Author(s):  
Samuel Oswald ◽  
Dries Raymaekers ◽  
Wouter Dierckx ◽  
Dominique De Munck ◽  
Stephen Kempenaers ◽  
...  
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Automated Image Processing
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