In this paper the problem of high-precision motion control of remotely operated vehicles (ROVs) in the proximity of the seabed through vision-based motion estimation is addressed. The proposed approach consists of the integration of a cheap monocular vision system for the estimate of the vehicle's linear motion with a conventional dual-loop hierarchical architecture for kinematics and dynamics control. Results obtained by operating at sea the Romeo ROV are presented, demonstrating the system capability in performing station- keeping in the presence of external disturbance and relatively high accuracy in horizontal motion control.

Vision-based ROV horizontal motion control: Near-seafloor experimental results

M Caccia
2007

Abstract

In this paper the problem of high-precision motion control of remotely operated vehicles (ROVs) in the proximity of the seabed through vision-based motion estimation is addressed. The proposed approach consists of the integration of a cheap monocular vision system for the estimate of the vehicle's linear motion with a conventional dual-loop hierarchical architecture for kinematics and dynamics control. Results obtained by operating at sea the Romeo ROV are presented, demonstrating the system capability in performing station- keeping in the presence of external disturbance and relatively high accuracy in horizontal motion control.
2007
Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari
Underwater vision; Motion estimation; Guidance and control; Mobile robots
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/434920
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