Abstract

This paper describes the development and experimental validation of algorithms for a novel laser vision system (LVS), suitable for measuring the relative posture from both solid and mesh-like targets in underwater environments. The system was developed in the framework of the AQUABOT project, a research project dedicated to the development of an underwater robotic system for inspection of offshore aquaculture installations. In particular, an analytical model for three-medium refraction that takes into account the nonlinear hemispherical optics for image rectification has been developed. The analytical nature of the model allows the online estimation of the refractive index of the external medium. The proposed LVS consists of three line-lasers within the field of view of the underwater robot camera. The algorithms that have been developed in this work provide appropriately filtered point-cloud datasets from each laser, as well as high-level information such as distance and relative orientation of the target with respect to the ROV. In addition, an automatic calibration procedure, along with the accompanying hardware for the underwater laser vision system has been developed to reduce the calibration overhead required by regular maintenance operations for underwater robots operating in seawater. Furthermore, a spatial image filter was developed for discriminating between mesh and non-mesh-like targets in the LVS measurements. Finally, a set of experiments was carried out in a controlled laboratory environment, as well as in real conditions at offshore aquaculture installations demonstrating the performance of the system.

Highlights

  • Underwater robotics has received increasing interest from research and industry during the last years

  • The robot is equipped with a CCD camera, a Tilt Compensated Compass (TCC) sensor capable of providing roll, pitch, and yaw measurements, the laser vision system (LVS) that was analyzed in this work, and a custom-developed control station

  • An analytical model for three-medium refraction that takes into account the nonlinear hemispherical optics was developed

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Summary

Introduction

Underwater robotics has received increasing interest from research and industry during the last years. We introduce a methodology based on the development of an analytical model for hemispherical optics physics, that describes the path of light rays that refracted through three different interfaces; air, acrylic (dome), and water This is required for appropriately interpreting the laser reflection images from an array of line lasers and producing the relative posture of the underwater robot with respect to a mesh-like target which can be utilized for underwater localization, tracking, and navigation tasks. The rest of the paper is organized as follows: Section 2 provides the analytical model for a light ray that is refracted in three different mediums before it reaches the camera sensor, Section 3 provides a novel LVS that considers the hemispherical optics suitable for measuring the relative posture for solid and mesh-like structures in underwater environments.

Analytical Model
Model Calibration and Adaptive Refractive Index
Approach
Relative 3-D Posture Estimation to Mesh-like Targets
Automatic Calibration
Preliminaries
Laser Plane Image
Binary Image Processing Filter
Experimental Setup
Experimental Evaluation of the Mesh Filter Algorithm
Experimental Evaluation of the LVS in the Laboratory
LVS-Effect of Dome Model
Testing the LVS System at an Offshore Aquaculture Installation
Findings
Conclusions

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