Mutual Relative Localization in Heterogeneous Air-ground Robot Teams

GÜLER S., Yildirim I. E., Alabay H. H.

19th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Lisbon, Portugal, 14 - 16 July 2022, pp.304-312 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.5220/0011267800003271
  • City: Lisbon
  • Country: Portugal
  • Page Numbers: pp.304-312
  • Keywords: Heterogeneous Multi-robot Systems, Relative Localization, Bayesian Filtering, SYSTEM
  • Abdullah Gül University Affiliated: Yes


Air and ground robots with distinct sensing characteristics can be combined in a team to accomplish demanding tasks robustly. A key challenge in such heterogeneous systems is the design of a local positioning methodology where each robot estimates its location with respect to its neighbors. We propose a filtering-based relative localization algorithm for air-ground teams composed of vertical-take-off-and-landing drones and unmanned aerial vehicles. The team members interact through a sensing/communication mechanism relying on onboard units, which results in a mutual connection between the air and ground components. Exploiting the supplementary features of omnidirectional distance sensors and monocular cameras, the framework can function in all environments without fixed infrastructures. Various simulation and experiment results verify the competency of our approach.