Enabling continuous operations for UAVs with an autonomous service network infrastructure

Michael Rosenberg; John Henry Burns; Deeraj Nagothu; Yu Chen

doi:10.1117/12.2565866

22 April 2020 Enabling continuous operations for UAVs with an autonomous service network infrastructure

Michael Rosenberg, John Henry Burns, Deeraj Nagothu, Yu Chen

Proceedings Volume 11422, Sensors and Systems for Space Applications XIII; 114220K (2020) https://doi.org/10.1117/12.2565866
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

One of the major restrictions on the practical applications of unmanned aerial vehicles (UAV) is their incomplete self-sufficiency, which makes continuous operations infeasible without human oversights. The more oversight UAVs require, the less likely they are going to be commercially advantageous when compared to their alternatives. As an autonomous system, how much human interaction is needed to function is one of the best indicators evaluating the limitations and inefficiencies of the UAVs. Popular UAV related research areas, such as path planning and computer vision, have enabled substantial advances in the ability of drones to act on their own. This research is dedicated to in-flight operations, in which there is not much reported effort to tackle the problem from the aspect of the supportive infrastructure. In this paper, an Autonomous Service network infrastructure (AutoServe) is proposed. Aiming at increasing the future autonomy of UAVs, the AutoServe system includes a service-oriented landing platform and a customized communication protocol. This supportive AutoServe infrastructure will autonomize many tasks currently done manually by human operators, such as battery replacement. A proof-of-concept prototype has been built and the simulation experimental study validated the design.

Conference Presentation

Citation Download Citation

Michael Rosenberg, John Henry Burns, Deeraj Nagothu, and Yu Chen "Enabling continuous operations for UAVs with an autonomous service network infrastructure", Proc. SPIE 11422, Sensors and Systems for Space Applications XIII, 114220K (22 April 2020); https://doi.org/10.1117/12.2565866

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