System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization
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A complex system for control of swarms of micro aerial vehicles (MAV), in literature also called as unmanned aerial vehicles (UAV) or unmanned aerial systems (UAS), stabilized via an onboard visual relative localization is described in this paper. The main purpose of this work is to verify the possibility of self-stabilization of multi-MAV groups without an external global positioning system. This approach enables the deployment of MAV swarms outside laboratory conditions, and it may be considered an enabling technique for utilizing fleets of MAVs in real-world scenarios. The proposed visual-based stabilization approach has been designed for numerous different multi-UAV robotic applications (leader-follower UAV formation stabilization, UAV swarm stabilization and deployment in surveillance scenarios, cooperative UAV sensory measurement) in this paper. Deployment of the system in real-world scenarios truthfully verifies its operational constraints, given by limited onboard sensing suites and processing capabilities. The performance of the presented approach (MAV control, motion planning, MAV stabilization, and trajectory planning) in multi-MAV applications has been validated by experimental results in indoor as well as in challenging outdoor environments (e.g., in windy conditions and in a former pit mine).
KeywordsMicro aerial vehicles (MAVs) Unmanned aerial vehicles (UAVs) Formations Swarms Visual relative localization Stabilization Control Trajectory planning
This work has been supported by the Ministry of Education of the Czech Republic under project no. LH11053 and the experimental works required for paper revisions by Project No. HS 13167/830/8301616C000 founded by Khalifa University for the MBZIRC competition, both projects supporting the joint research of the Czech Technical University in Prague and the University of Pennsylvania. In addition, Martin Saska has been supported by the Grant Agency of the Czech Republic under postdoc Grant No. P103-12/P756. The work of Jan Faigl has been also partially supported by the Czech Science Foundations (GACR) under the research Project No. 13-18316P. Tomas Krajnik has been supported by the EU project STRANDS (ICT-600623). Tomas Baca has been supported by CTU grant no. SGS15/157/OHK3/2T/13. Final experiments done by Martin Saska for revisions of the paper have been supported by the Czech Science Foundations (GACR) under the research Project No. 16-24206S.
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