Here, we report the implementation of autonomous underwater vehicles and remotely operated vehicles as an aid for acoustic long-baseline localization systems for autonomous tracking of Norway lobster (Nephrops norvegicus), one of the key living resources exploited in European waters. However, such information is currently scarce, and high-frequency and prolonged data collection is rarely available. Acquiring accurate behavioral information of deep-sea fished ecosystems is necessary to establish the sizes of marine protected areas within the framework of large international societal programs (e.g., European Community H2020, as part of the Blue Growth economic strategy). Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. To better evaluate their performance and utility, in this paper we provide (1) a novel dataset specific to marine animals located at, (2) an evaluation of state-of-the-art semi-supervised algorithms in the context of underwater animal tracking, and (3) an evaluation of real-world performance through demonstrations using a semi-supervised algorithm on-board an autonomous underwater vehicle to track marine animals in the wild. However, because there are not existing realistic underwater tracking datasets, the performance of semi-supervised tracking algorithms in the marine domain is not well understood. Semi-supervised trackers may offer alternative tracking solutions because they require less data than fully-supervised counterparts. Existing approaches have focused on using fully-supervised tracking methods, but labelled data for many underwater species are severely lacking. Recently, however, autonomous underwater vehicles equipped with cameras and embedded computers with GPU capabilities are being developed for a variety of applications, and in particular, can be used to supplement these existing data collection mechanisms where human operation or tags are more difficult. Typically, these observations are collected via divers, tags, and remotely-operated or human-piloted vehicles. Movement, temperature and depth studies through the use of 3 different tags.In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem.OCEARCH began in 2007 and has hosted 200 scientists who have helped execute 42 expeditions and tagged over 431 animals. "She was named after the Sable Island National Park Reserve, located approximately 180 miles offshore of Halifax, Nova Scotia, near where she was tagged" in 2021. "Sable is the 76th shark sampled, tagged and released in the nonprofit research organization's Northwest Atlantic White Shark Study and the third of Expedition Nova Scotia 2021," according to OCEARCH's website. The team then affixed a smart position or temperature (SPOT) tag on the dorsal fin and lowered the shark elevator (platform) back into the water. In 15 short minutes, the team can collect 12 different biological samples from the shark. The research team took length and weight measurements, blood samples and checked other vital signs.
0 Comments
Leave a Reply. |