Autonomous Underwater Vehicles or AUVs are unmanned vehicles that operate independently and under their own power. While very large-scale surface processes can be easily addressed by both remote sensing and ship-borne systems, characterisation of seafloor processes is often unachievable by these traditional methods. AUVs are effective for rapid and cost-effective high-resolution, accurately geo-referenced and targeted acoustic imagery of the seafloor.
IMOS deploys AUVs in Australian waters to provide a critical link between oceanographic and benthic processes from both tropical and temperate reef environments, spanning the entire latitudinal range of Australia.
To support a more in-depth understanding of natural, climate change and human-induced variability in the shelf environments, the Autonomous Underwater Vehicles Facility operates an integrated benthic monitoring program collecting high-quality seafloor imagery and associated water column data using AUVs at sites around the country.
The Autonomous Underwater Vehicle facility currently owns and operates the ocean going AUV called ‘Sirius’. Managed by the University of Sydney’s Australian Centre for Field Robotics (ACFR) this vehicle is a modified version of a mid-size robotic vehicle called Seabed built at the Woods Hole Oceanographic Institution. Sirius is specifically designed for undertaking high resolution benthic optical and acoustic imaging work and is equipped with a full suite of oceanographic instruments. These include a high resolution stereo camera pair and strobes, a 330 kHz multibeam sonar, depth and conductivity/temperature sensors, a 1200 kHz Doppler Velocity Log (DVL) including a compass with integrated roll and pitch sensors, an ultra-short baseline acoustic tracking and communications system and a flurometer to measure coloured dissolved organic matter (CDOM), chlorophyll-a and backscatter. Data is time-stamped and logged on the vehicles on-board computer. Optical imagery collected by the AUV Sirius in Australian waters can be found through the AUV Image Viewer and the Australian Ocean Data Network (AODN) Portal.
Prof. Stefan Williams
P: +61 (02) 9351 8152