Unmanned Aerial Vehicle (UAV) path planning and control assisted by Augmented Reality (AR): the case of indoor drones

Mourtzis, Dimitris; Angelopoulos, John; Panopoulos, Nikos

doi:10.1080/00207543.2023.2232470

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2024

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Cited by 8 publications

References 76 publications

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Exploring the role of drones and UAVs in logistics and supply chain management: a novel text-based literature review

Jahani,

Khosravi,

Kargar

et al. 2024

International Journal of Production Research

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Exploring the role of drones and UAVs in logistics and supply chain management: a novel text-based literature review

Jahani,

Khosravi,

Kargar

et al. 2024

International Journal of Production Research

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Drone-based mixed reality: enhancing visualization for large-scale outdoor simulations with dynamic viewpoint adaptation using vision-based pose estimation methods

Kinoshita,

Fukuda,

Yabuki

2024

Drone Syst. Appl.

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In recent years, there has been a growing interest in the integration of drones across diverse sectors, particularly within architecture, engineering, and construction (AEC). The amalgamation of drones with mixed reality (MR) stands out as a promising avenue. Proposed applications include the comparison of design and actual objects, as well as landscape simulation in urban design. A previous study successfully developed a drone-viewpoint MR system with low model dependence, leveraging general drones and methods. However, the alignment between the real and virtual worlds was contingent on predefined flight routes, limiting adaptability during MR execution. This study introduces a new model-independent drone viewpoint MR system that integrates two vision-based attitude estimation methods, enabling execution on arbitrary flight paths. Evaluation of the prototype for system latency and alignment accuracy revealed an overall latency of 3.5 seconds. The alignment accuracy, assessed using intersection over union (IoU), demonstrated performance equal to or surpassing the previous system. While this paper does not showcase MR content for practical use, the research lays the groundwork for advancing drone applications in the AEC field. The proposed system offers versatility for MR applications across various stages, from design to maintenance.

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A Robust Invariant Set Planner For Quadrotors

Greiff,

Weiss,

Berntorp

et al. 2024

2024 European Control Conference (ECC)

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Unmanned Aerial Vehicle (UAV) path planning and control assisted by Augmented Reality (AR): the case of indoor drones

Cited by 8 publications

References 76 publications

Exploring the role of drones and UAVs in logistics and supply chain management: a novel text-based literature review

Exploring the role of drones and UAVs in logistics and supply chain management: a novel text-based literature review

Drone-based mixed reality: enhancing visualization for large-scale outdoor simulations with dynamic viewpoint adaptation using vision-based pose estimation methods

A Robust Invariant Set Planner For Quadrotors

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