Journal of Robotics and Mechatronics · 2018 · 17 citations · 16 references
EngineeringOcean EngineeringRobotics EngineeringMarine RoboticsNaval ArchitectureUnderwater RoboticsAutonomous Underwater VehiclesMarine Robot PerceptionSeafloor MappingSonar SystemsUnderwater NavigationUnderwater Vehicle DesignAltitude EstimationAutonomous Underwater Vehicle NavigationAuv LocalizationDoppler Velocity LoggingInertial Navigation SystemsReference PitchSeafloor RoughnessUnderwater Vehicle Navigation
This paper proposes a new method for cruising-type autonomous underwater vehicles (AUVs) to track rough seafloors at low altitudes while also maintaining a high surge velocity. Low altitudes are required for visual observation of the seafloor. The operation of AUVs at low altitudes and high surge velocities permits rapid seafloor imaging over a wide area. This method works without high-grade sensors, such as inertial navigation systems (INS), Doppler velocity logs (DVL), or multi-beam sonars, and it can be implemented in lightweight AUVs. The seafloor position is estimated based on a reflection intensity map defined on a vertical plane, using measurements from scanning sonar and basic sensors of depth, attitude, and surge velocity. Then, based on the potential method, a reference pitch angle is generated that allows the AUV to follow the seafloor at a constant altitude. This method was implemented in the AUV HATTORI, and a series of sea experiments were carried out to evaluate its performance. HATTORI (Highly Agile Terrain Tracker for Ocean Research and Investigation) is a lightweight and low-cost testbed designed for rapid and efficient imaging of rugged seafloors, such as those containing coral reefs. The vehicle succeeded in following a rocky terrain at an altitude of approximately 2 m with a surge velocity of approximately 0.8 m/s. This paper also presents the results of sea trials conducted at Ishigaki Island in 2017, where the vehicle succeeded in surveying the irregular, coral-covered seafloor.
16
A complementary filter for attitude estimation of a fixed-wing UAV
M. Euston, Paul Coote, Robert Mahony et al. · 2008 · 495 citations
Engineering, Aerospace Engineering, Global Navigation Satellite Systems +12