Unmanned Aircraft System for Andean Volcano monitoring and surveillance

Flores, Alejandro; Scipion, Danny; Saito, Carlos; Apaza, Joab; Milla, Marco

doi:10.1109/ssrr.2019.8848941

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…Additionally, Everaerts in [22] explains the usefulness of UAVs for remote sensing and scientific mapping due to their low cost and ease of access to the platforms. Another example is the one presented by Flores et al in [23], where they use a fixed-wing UAV for volcano surveillance. This work describes the necessary requirements for BVLOS flights, and the neccesity to equip the drone with cameras, sensors, emerging auxiliary platforms, and a reliable communication system between the ground station and the UAV.…”

Section: Related Workmentioning

confidence: 99%

Low-Cost Computer-Vision-Based Embedded Systems for UAVs

Ortega,

Loyaga,

Cruz

et al. 2023

Robotics

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Unmanned Aerial Vehicles (UAVs) are versatile, adapting hardware and software for research. They are vital for remote monitoring, especially in challenging settings such as volcano observation with limited access. In response, economical computer vision systems provide a remedy by processing data, boosting UAV autonomy, and assisting in maneuvering. Through the application of these technologies, researchers can effectively monitor remote areas, thus improving surveillance capabilities. Moreover, flight controllers employ onboard tools to gather data, further enhancing UAV navigation during surveillance tasks. For energy efficiency and comprehensive coverage, this paper introduces a budget-friendly prototype aiding UAV navigation, minimizing effects on endurance. The prototype prioritizes improved maneuvering via the integrated landing and obstacle avoidance system (LOAS). Employing open-source software and MAVLink communication, these systems underwent testing on a Pixhawk-equipped quadcopter. Programmed on a Raspberry Pi onboard computer, the prototype includes a distance sensor and basic camera to meet low computational and weight demands.Tests occurred in controlled environments, with systems performing well in 90% of cases. The Pixhawk and Raspberry Pi documented quad actions during evasive and landing maneuvers. Results prove the prototype’s efficacy in refining UAV navigation. Integrating this cost-effective, energy-efficient model holds promise for long-term mission enhancement—cutting costs, expanding terrain coverage, and boosting surveillance capabilities.

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Section: Related Workmentioning

confidence: 99%

Low-Cost Computer-Vision-Based Embedded Systems for UAVs

Ortega,

Loyaga,

Cruz

et al. 2023

Robotics

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“…Besides, small sea vessels are difficult to track by standard radar and satellite systems [7]. The proposed aerial platform includes an autonomous smallsized UAV type quadcopter with attachments and a hardwaresoftware system [2], [4], [8], [10].…”

Section: Introductionmentioning

confidence: 99%

“…The availability of an energy-efficient system for extended flights, long-range telemetry and videotransmitter modules for real-time flight status management and reception of visual information about ground target identification process respectively. As well as onboard implementation of advanced algorithms of control for an adaptive controlled flight in presence of external uncertainties [4], [7], [8], [9], [13], [19].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Wind Effects on UAV Adaptive PID Based MPC Control System

Martinez Leon,

Jatsun,

Emelyanova

2024

Enfoque UTE

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In this paper, an assessment of the state of coastal territories of Ecuador monitoring issue is conducted. The use of an autonomous robotic aerial platform is proposed as a technical solution to enhance the efficiency of remote surveillance missions performed by national security services along coastline. Considering the UAV nonlinear flight dynamics, as well as the missing information of the environment, is designed a UAV hierarchical control structure composed of an adaptive PID based MPC control strategy. The implementation of an adaptive PID based MPC controller leads to significantly improve the UAV optimal trajectory tracking task, as well as satisfy properties such as adaptiveness, self-learning, and capability of handling uncertainties caused by the unpredictable behavior of sea currents and wind loads retaining robust performance features. In this work, the investigation of external disturbances on UAV stabilization and positioning accuracy considers swirling wind flows and short-term wind gusts. These correspond to deterministic and random processes, are mathematically represented as trigonometric functions with random amplitudes determined by the gust coefficients and the wind loading periods of the pulses. The established range is given by a set of several observations of wind loads in the coastal territories of Ecuador. The analyzed data is collected from the database of national meteorological stations. Finally, the simulation process of the perturbed controlled motion of the UAV along a segmented linear trajectory, as well as the data analysis and graphics are carried out in the MATLAB environment.

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“…The utilization of Unmanned Aerial Systems applications, in this case, reveals favorable results in close monitoring. The systems are involved in volcano missions in the aeromagnetic survey aerial surveillance, gas monitoring, and sample collection [11], [12], [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Drone-Based Automatic Water Sampling System

Lariosa,

Pao,

Banglos

et al. 2024

IEEE Access

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Water sampling is a fundamental practice for obtaining essential environmental data, enabling the analysis and quality testing of water from natural or industrial sources. It plays a vital role in understanding water quality changes over time, identifying contaminant sources, and supporting water management plans. Traditional sampling methods, including spot (bottle) sampling and in-situ readings, can be labor-intensive and limited by accessibility. To address these challenges, the utilization of drones equipped with specialized sensors and sampling devices has emerged as an innovative and efficient approach. Drones offer the potential to automate field quality control and streamline water sampling efforts, providing a cost-effective and comprehensive solution for data collection in diverse water environments. This paper focuses on the design and development of a water sampling system integrated with a drone, featuring an automatic lock mechanism activated after rigorous field quality control, ensuring the reliable collection of water samples in various scenarios.

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Unmanned Aircraft System for Andean Volcano monitoring and surveillance

Cited by 8 publications

References 12 publications

Low-Cost Computer-Vision-Based Embedded Systems for UAVs

Low-Cost Computer-Vision-Based Embedded Systems for UAVs

Investigation of Wind Effects on UAV Adaptive PID Based MPC Control System

Drone-Based Automatic Water Sampling System

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