Localization of an underwater vehicle using an IMU and a laser-based vision system

George C. Karras, Kostas J. Kyriakopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the development of a position tracking system designed for a Remotely Operated Vehicle (ROV). The sensor package consists of an Inertial Measurement Unit (IMU) and a Laser-based Vision System (LVS). The LVS consists of two undewater Laser pointers and a single CCD camera mounted on the ROV. The LVS fuses data deriving from the projection of the laser pointers on the image plane while it tracks a target at the same plane using computer vision algorithms. The LVS calculates the position vector of the vehicle at a low frequency, with respect to the center of the tracked object. The IMU measures the accelerations and angular velocities of the vehicle at a high frequency. The fusion of the two sensors is based on a Multisensor Kalman filter where the measured acceleration and angular velocity of the IMU is fed directly to the filter. The result is the calculation of the position vector at a high frequency, which can be used for a smooth closed loop steering control of the vehicle. The integration of the system was proved successful through an extensive experimental procedure.

Original languageEnglish (US)
Title of host publication2007 Mediterranean Conference on Control and Automation, MED
DOIs
StatePublished - 2007
Event2007 Mediterranean Conference on Control and Automation, MED - Athens, Greece
Duration: Jul 27 2007Jul 29 2007

Publication series

Name2007 Mediterranean Conference on Control and Automation, MED

Other

Other2007 Mediterranean Conference on Control and Automation, MED
Country/TerritoryGreece
CityAthens
Period7/27/077/29/07

Keywords

  • Guidance and control
  • IMU
  • Laser pointers
  • Multisensor Kalman filter
  • ROV
  • Underwater vision

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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