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Computer Vision- Core Artificial Intelligence Research
Vision-CAIR
Computer Vision- Core Artificial Intelligence Research

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substrate characterization

Scaling up reef ecosystem monitoring using underwater robots

Dr. Yogesh Girdhar, Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution

May 8, 15:30 - 16:00

B18 Fellowship Hall

Featured Sessions

machine learning animal tracking substrate characterization

Abstract The current approach to exploring and monitoring complex underwater ecosystems, such as coral reefs, is to conduct surveys using diver-held or static cameras, or deploying sensor buoys. These approaches often fail to capture the full variation and complexity of interactions between different reef organisms and their habitat. The CUREE AUV platform provides a unique set of capabilities in the form of robot behaviors and perception algorithms to enable scientists to explore different aspects of an ecosystem. Examples of these capabilities include low-altitude visual surveys, soundscape

Computer Vision- Core Artificial Intelligence Research (Vision-CAIR)

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