Cooperative localization of drones by using interval methods

In this article we address the problem of cooperative pose estimation in a group of unmanned aerial vehicles (UAVs) in a bounded-error context. The UAVs are equipped with cameras to track landmarks, and with a communication and ranging system to cooperate with their neighbors. Measurements are repre...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Kenmogne Ide-Flore
Drevelle Vincent
Marchand Eric
Testületi szerző: Summer Workshop on Interval Methods (11.) (2018) (Rostock)
Dokumentumtípus: Cikk
Megjelent: University of Szeged, Institute of Informatics Szeged 2020
Sorozat:Acta cybernetica 24 No. 3
Kulcsszavak:Számítástechnika, Kibernetika, Vezérléstechnika, Robotika
Tárgyszavak:
doi:10.14232/actacyb.24.3.2020.15

Online Access:http://acta.bibl.u-szeged.hu/69273
Leíró adatok
Tartalmi kivonat:In this article we address the problem of cooperative pose estimation in a group of unmanned aerial vehicles (UAVs) in a bounded-error context. The UAVs are equipped with cameras to track landmarks, and with a communication and ranging system to cooperate with their neighbors. Measurements are represented by intervals, and constraints are expressed on the robots poses (positions and orientations). Pose domains subpavings are obtained by using set inversion via interval analysis. Each robot of the group first computes a pose domain using only its sensors measurements. Then, through position boxes exchanges, the positions are cooperatively refined by constraint propagation in the group. Results with real robot data are presented, and show that the position accuracy is improved thanks to cooperation.
Terjedelem/Fizikai jellemzők:557-572
ISSN:0324-721X