Research on Operation of UAVs in Non-isolated Airspace

Zhang, Zhaoyue; Zhang, Jing; Wang, Peng; Chen, Lei

doi:10.32604/cmc.2018.02890

Cited by 22 publications

(6 citation statements)

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“…Step 5. Update the particle velocity and position according to (10) and (11) and update the local optimum and global optimal until the particle finds the local optimal value.…”

Section: B: Apf-pso Algorithmmentioning

confidence: 99%

“…There have been many related studies on odor source statements in previous work. We use the method of [11], which uses a particle-based filter source declaration algorithm to locate the odor source. This method uses gas and wind measurements to reconstruct the trajectory of a gas patch and creates a patch path envelope instead of a single patch trajectory.…”

Section: Source Declararionmentioning

confidence: 99%

“…Compared with previous mobile robots, UAV has attracted much attention due to its high mobility, flexibility, low cost and ''zero casualties'', and researchs on UAV have become more and more popular [11], [12]. Multi-UAV have a greater advantage than a single UAV and they have a huge improvement in task execution efficiency, endurance and overall robustness.…”

Section: Introductionmentioning

confidence: 99%

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Pollution Source Localization Based on Multi-UAV Cooperative Communication

Chen

Ding

et al. 2019

IEEE Access

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Harmful gas leakage accidents in chemical plants have occurred from time to time. The application of mobile robots to find odor source has become one of the hottest research topics. Compared to traditional robots, unmanned aerial vehicle (UAV) is more flexible and safer. Therefore, using multi-UAV to solve pollution source tracking is a meaningful study. In this paper, an air pollution source tracking algorithm based on artificial potential field and particle swarm optimization is proposed. The particle swarm optimization algorithm combined with artificial potential field method is used to guide the UAVs to track the plume and avoid the collisions among them. At the same time, adaptive inertia weights are used to help improve the convergence and the searchability of particles. We not only evaluated this algorithm in simulation experiments but also designed a multi-UAV pollution source tracking platform for real-world experiments. The experimental results show that the algorithm can accurately find the pollution source in a short time.

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“…Step 5. Update the particle velocity and position according to (10) and (11) and update the local optimum and global optimal until the particle finds the local optimal value.…”

Section: B: Apf-pso Algorithmmentioning

confidence: 99%

Section: Source Declararionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Pollution Source Localization Based on Multi-UAV Cooperative Communication

Chen

Ding

et al. 2019

IEEE Access

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“…UAVs in urban areas may fall and hit people and vehicles on the ground [6][7]. UAVs may also intrude into airport airspaces [8]. An aspect of safe UAV operations would be to prevent UAVs from flying over high risk areas, such as densely populated areas and airports.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment Model for UAV Cost-Effective Path Planning in Urban Environments

Pang

Dai

et al. 2020

IEEE Access

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Increasing use of Unmanned Aerial Vehicle (UAV) in urban environments poses to an increased risk of fallen UAVs impacting people and vehicles on the ground, as well as colliding with manned aircraft in the vicinity of airports. Risk management of UAV flights for safe operations is essential. We proposed a comprehensive risk assessment model for UAV operation in urban environments. Three risk categories (people, vehicles, and manned aircraft) were considered and each risk cost was quantified using collision probability. We adjusted the risk costs in various magnitudes to a same scale and conducted a sensitivity analysis to determine the optimal coefficients of the three risk cost models. We then computed the total risk and generated a risk cost map for path planning. Modified path planning algorithms were used to produce a cost-effective path, and we compared their performances in terms of total risk cost and computational time. Lastly, we performed simulations to validate the feasibility and effectiveness of our proposed risk assessment model. The results show that the risk-cost-based path planning method can generate safer path for UAV operations than the traditional shortest-distance-based method. Our proposed model can be extended to complex urban environments by including more relevant parameters and data. INDEX TERMS Unmanned aerial vehicle, risk assessment model, risk cost map, path planning, urban environments Fuqing Dai holds the Dean's Chair in Air Traffic Management School at the Civil Aviation University of China. He is also a professor focusing on the research of airspace planning and management, flight procedures design and optimization, UTM and ATM systems. Professor Dai obtained his master's degree from Ecole Nationale de l'Aviation Civile, France and bachelor's degree from Nanjing University, China.

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“…Cette approche comprend la détection d'obstacles ou d'intrus dans une certaine zone de sécurité autour de l'aéronef en vol et selon le système, l'évitement automatique de collisions si nécessaire en plus de l'alerte. Les articles consistent en des revues de littérature où le sujet est traité[82,92,109], des améliorations d'algorithmes[7,13,32,35,43,44,56,60,74,77,84,91,118,123,125] ainsi que des systèmes (matériel et logiciel) fournissant la fonctionnalité de Détecter et Éviter[46,73].Le géorepérage constitue 3.03% des réponses. La réglementation[30] la définit comme une fonction qui, sur la base des données fournies par le régulateur, détecte une violation potentielle des limites de l'espace aérien et en alerte les télépilotes, afin que ces derniers puissent agir de manière immédiate et efficace pour éviter cette violation.…”

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Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones

Rakotonarivo

Conversy

Drougard

et al. 2021

32e Conférence Francophone Sur l'Interaction Homme-Machine

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Dans cet article, nous nous intéressons au soutien à la sécurité des opérations de drones. Il s'agit d'un enjeu primordial pour les exploitants qui doivent se conformer au cadre légal. Nous présentons tout d'abord les systèmes de drones et la réglementation européenne. Ensuite nous décrivons une revue systématique de la littérature sur cette thématique. L'identification des approches principales en résulte : "Voir & Éviter", Interactions Humain-Machine et Facteurs Humains (IHM/FH), intégrité de l'aéronef, analyses de sécurité, planification de trajectoires, géorepérage, cyber-sécurité et gestion du trafic de drones. Nous analysons plus en détail les contributions liées à l'IHM en identifiant les tâches utilisateurs, les recommandations pour la conception d'interactions améliorant la sécurité des opérations de drones et les perspectives de recherche. Enfin, nous discutons des aspects peu couverts dans les articles examinés.

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Research on Operation of UAVs in Non-isolated Airspace

Cited by 22 publications

References 0 publications

Pollution Source Localization Based on Multi-UAV Cooperative Communication

Pollution Source Localization Based on Multi-UAV Cooperative Communication

Risk Assessment Model for UAV Cost-Effective Path Planning in Urban Environments

Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones

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