Autonomous homing and docking for AUVs using Range-Only Localization and Light Beacons
Author(s) -
Guillem Vallicrosa,
Josep Bosch,
Narcís Palomeras,
Pere Ridao,
Marc Carreras,
Nuno Gracias
Publication year - 2016
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2016.10.321
Subject(s) - computer vision , beacon , computer science , artificial intelligence , a priori and a posteriori , underwater , docking (animal) , homing (biology) , ranging , simulation , real time computing , geography , ecology , telecommunications , philosophy , archaeology , epistemology , biology , medicine , nursing
This paper proposes a method for homing and docking an Autonomous Underwater Vehicle (AUV) to a subsea Docking station (DS) by combining acoustic and optical sensing. The AUV is assumed to be within acoustic ranging distance to the DS, whose location is otherwise unknown a priori . The homing and docking procedure comprises two stages. In the first stage, a Sum of Gaussian (SoG) filter is used to estimate the DS location while the AUV is guided along an observable trajectory. Once the DS position becomes known, the vehicle performs a homing maneuver to bring it within visual reach of the DS. In the second stage, a light beacon navigation system is used to estimate the DS pose with respect to the AUV. Visual information is used to update to a Simultaneous Localization And Mapping (SLAM) filter providing an AUV-pose estimate with the accuracy required for the docking maneuver. The feasibility and performance of the method is evaluated through Hardware-in-the-loop (HIL) simulation. The novelty and impact of the proposed approach lies in the complementarity of the two sensing modalities, which have not been yet demonstrated for AUV docking.
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