Safety-maximizing human-machine interactions in drone mission preparation: the case of the specific operation category

PhD student: Balita Rakotonarivo
Date: 2019 – 2022

The design and the execution of a drone mission require the definition of trajectories and properties associated with this set. This definition is generally iterative between the customer, the operator, and the regulator to grant an authorization respecting the national and European regulatory constraints. The objective of this thesis is to invent and study the interactions creating a unified framework for the design, the safety studies, and the obtaining of authorization in the specific category of operation of remotely piloted aircraft.

To address this issue, the research focuses on the interactions that allow for itemization, verification, and exploit a set of trajectories and associated parameters for flights in the specific operation category.

The thesis is divided into three steps:

1) First, the project identified the properties to be verified for mission design and execution. A state of the art on the support of UAV operations, as well as a collection of the need, was carried out with the concerned actors, in particular the operators and the regulators.

2) Then, we designed interactions allowing us to specify and explore a mission and its associated properties. This original exploration approach is envisaged to support an iterative evolution of missions and associated operational parameters between the different stakeholders involved.

3) The previous work allows the design of interactions to manage and verify the security related to each new concept of operations. The characterization of this security is done through the partial application of the Specific Operations Risk Assessment methodology

Related Publication

Balita Rakotonarivo, Stéphane Conversy, Nicolas Drougard, Jérémie Garcia. Revue Systématique de la Littérature sur le Soutien à la Sécurité des Opérations de Drones. 32e Conférence Francophone sur l’Interaction Homme-Machine (IHM ‘20.21), Apr 2021, Metz, France. ⟨10.1145/3450522.3451328⟩⟨hal-03217297⟩

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