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Open AccessJournal ArticleDOI

Drone Mission Definition and Implementation for Automated Infrastructure Inspection Using Airborne Sensors.

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TLDR
A Mission Definition System and the automated flight process it enables to implement measurement plans for discrete infrastructure inspections using aerial platforms, and specifically multi-rotor drones are described.
Abstract
This paper describes a Mission Definition System and the automated flight process it enables to implement measurement plans for discrete infrastructure inspections using aerial platforms, and specifically multi-rotor drones. The mission definition aims at improving planning efficiency with respect to state-of-the-art waypoint-based techniques, using high-level mission definition primitives and linking them with realistic flight models to simulate the inspection in advance. It also provides flight scripts and measurement plans which can be executed by commercial drones. Its user interfaces facilitate mission definition, pre-flight 3D synthetic mission visualisation and flight evaluation. Results are delivered for a set of representative infrastructure inspection flights, showing the accuracy of the flight prediction tools in actual operations using automated flight control.

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Designing airspace for urban air mobility: A review of concepts and approaches

TL;DR: There is a need for a new branch of research that analyzes urban air mobility from the perspective of urban planning, including issues around zoning, air rights, public transportation, real estate development, public acceptance, and access inequalities.
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UAS-Based Plant Phenotyping for Research and Breeding Applications.

TL;DR: In this article, the state of the art in the deployment, collection, curation, storage, and analysis of data from UAS-based phenotyping platforms is reviewed.
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Internet of Unmanned Aerial Vehicles—A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management

TL;DR: A novel way of structuring the uncontrolled, low-altitude airspace as a weighted multilayer network of nodes and airways is proposed with the aim of addressing the complex problem of UAV traffic management at an abstract level.
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3D Trajectory Planning Method for UAVs Swarm in Building Emergencies.

TL;DR: This document includes the planning of multiple trajectories for a swarm of UAVs based on 3D Probabilistic Roadmaps (PRM) and an architecture based on Robot Operating System (ROS) is presented to allow the simulation and integration of the methods developed in a UAV swarm.
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The Rise of Drones in Internet of Things: A Survey on the Evolution, Prospects and Challenges of Unmanned Aerial Vehicles

TL;DR: In this paper, the authors present a holistic study on the current state-of-the-art of UAVs and low-altitude airspace traffic management, highlighting synergies between scientific research and standardisation efforts towards enabling safe UAV operations, while taking into consideration additional IoT inherent challenges such as security, data protection and privacy.
References
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Journal ArticleDOI

Classifications, applications, and design challenges of drones: A review

TL;DR: This review paper identifies a novel classification of flying drones that ranges from unmanned air vehicles to smart dusts at both ends of this spectrum, with their new defined applications.
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Drone remote sensing for forestry research and practices

TL;DR: In this article, the benefits of drone remote sensing include low material and operational costs, flexible control of spatial and temporal resolution, high-intensity data collection, and the absence of risk to crews.
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Drones count wildlife more accurately and precisely than humans

TL;DR: The effectiveness of management decision-making is often dependent on the accuracy and timeliness of the relevant ecological data upon which decisions are based, meaning that improvements to data collection methods may herald improved ecological outcomes from management actions as mentioned in this paper.
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Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants

TL;DR: This study explores and evaluates the use of different UAV technologies and proposes a reliable, cost-effective, and time-saving method for the inspection of PV plants by using light unmanned aerial vehicles (UAVs) or systems (UASs) during their operation and maintenance.
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Vision and Control for UAVs: A Survey of General Methods and of Inexpensive Platforms for Infrastructure Inspection.

TL;DR: This report surveys vision and control methods that can be applied to low-cost UAVs, and lists some popular inexpensive platforms and application fields where they are useful.