The article describes a novel system developed by Amy Phung and her advisor Richard Camilli at the Woods Hole Oceanographic Institution (WHOI) to address the challenge faced by remotely operated vehicles (ROVs) when they disturb sediment on the seafloor, obscuring onboard camera vision. The proposed technique involves the initial use of sonar to rapidly map the surrounding environment, a method that functions effectively in both clear and turbid water conditions, unlike optical cameras. This sonar mapping enables the ROV to safely approach specific objects of interest, allowing cameras to capture detailed visualizations once the vehicle is in proximity.
To facilitate real-time processing of the sonar data, the researchers integrated an image-matching algorithm, originally developed by French researchers, which swiftly estimates the relative depth of each pixel within a two-dimensional scene. Richard Camilli provides an analogy to illustrate the technique’s utility: navigating a darkened china shop to locate a specific item without causing damage. The authors suggest potential applications for this technology, including scientific exploration, underwater construction and maintenance tasks, and the management of unexploded undersea mines.