Search results for "offshore motion compensation"

showing 1 items of 1 documents

Relative Vessel Motion Tracking using Sensor Fusion, Aruco Markers, and MRU Sensors

2017

This paper presents a novel approach for estimating the relative motion between two moving offshore vessels. The method is based on a sensor fusion algorithm including a vision system and two motion reference units (MRUs). The vision system makes use of the open-source computer vision library OpenCV and a cube with Aruco markers placed onto each of the cube sides. The Extended Quaternion Kalman Filter (EQKF) is used for bad pose rejection for the vision system. The presented sensor fusion algorithm is based on the Indirect Feedforward Kalman Filter for error estimation. The system is self-calibrating in the sense that the Aruco cube can be placed in an arbitrary location on the secondary ve…

Sensor fusionvision010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySensor fusion01 natural scienceslcsh:QA75.5-76.95Computer Science ApplicationsArucoMatch movingControl and Systems EngineeringModeling and Simulation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionKalman filterlcsh:Electronic computers. Computer scienceArtificial intelligencebusinessoffshore motion compensationSoftware0105 earth and related environmental sciencesModeling, Identification and Control: A Norwegian Research Bulletin
researchProduct