ROSep 10, 2018

Underwater Surveying via Bearing only Cooperative Localization

arXiv:1809.03594v16 citations
Originality Synthesis-oriented
AI Analysis

This work addresses underwater localization for robotic and human diver applications in domains like cave mapping and marine archaeology, representing an incremental adaptation of existing methods.

The paper tackled the problem of underwater surveying by extending bearing-only cooperative localization to handle challenging visibility conditions, achieving validated robustness and accuracy across diverse environments including lakes, caverns, and coral reefs.

Bearing only cooperative localization has been used successfully on aerial and ground vehicles. In this paper we present an extension of the approach to the underwater domain. The focus is on adapting the technique to handle the challenging visibility conditions underwater. Furthermore, data from inertial, magnetic, and depth sensors are utilized to improve the robustness of the estimation. In addition to robotic applications, the presented technique can be used for cave mapping and for marine archeology surveying, both by human divers. Experimental results from different environments, including a fresh water, low visibility, lake in South Carolina; a cavern in Florida; and coral reefs in Barbados during the day and during the night, validate the robustness and the accuracy of the proposed approach.

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