Giovanny-Javier Tipantuña-Topanta’s research while affiliated with Polytechnic University of Valencia and other places

Currently, drones are one of the most complex control systems. This control covers from the control of the stability of the drone, to the automatic control of the navigation in complex environments. In the case of indoor drones, technological challenges are specific. This paper presents an intelligent control architecture for indoor drones where security is the main axis of the system design. So, a definition of different navigation modes based on security is proposed. The drone must have different navigation modes: manual, reactive, deliberative and intelligent. For indoor navigation it is necessary to know the position of the drone, therefore the system must have a location mode similar to GPS, but that provides better accuracy. For deliberative and intelligent modes, the system must have a map of the environment, as well as a control system that sends the navigation orders to the drone.

Currently, drones are one of the most complex control systems. This control covers from the control of the stability of the drone, to the automatic control of the navigation in complex environments. In the case of indoor drones, technological challenges are specific. This paper presents an intelligent control architecture for indoor drones where security is the main axis of the system design. So, a definition of different navigation modes based on security is proposed. The drone must have different navigation modes: manual , reactive, deliberative and intelligent. For indoor navigation it is necessary to know the position of the drone, therefore the system must have a location mode similar to GPS, but that provides better accuracy. For deliberative and intelligent modes, the system must have a map of the environment , as well as a control system that sends the navigation orders to the drone.

This paper presents a Virtual Environment Mapping (VEM) module assembled in an indoor drone in order to be used by creative industries. This module is in charge of allowing users to capture the environment where the final recording will take place. Having a virtual representation of the environment allows both the photography director and the director to test different camera trajectories, points of view, speeds and camera configuration without the need to be physically in the recording set. The digitization of the scene will be performed with a 3D camera on-board of the drone. This paper discusses the overall VEM architecture, taking into account the requirements it has to fulfil. It will also present a working demo of the system, with the communication infrastructure in place and with a proof of concept of the main components of system.