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Low-cost vision-based AUV guidance system for reef navigation

Matthew Dunbabin, Peter Corke, Gregg Buskey

发表年份
2004
引用次数
49

摘要

Ensuring the long term viability of reef environments requires essential monitoring of many aspects of these ecosystems. However, the sheer size of these unstructured environments (for example Australia's Great Barrier Reef) pose a number of challenges for current monitoring platforms which are typically remote operated and required significant resources and infrastructure. Therefore, a primary objective of the CSIRO robotic reef monitoring project is to develop and deploy a large number of AUV teams to perform broadscale reef surveying. In order to achieve this, the platforms must be cheap, even possibly disposable. This work presents the results of a preliminary investigation into the performance of a low-cost sensor suite and associated processing techniques for vision and inertial-based navigation within a highly unstructured reef environment.

关键词

Computer scienceComputer visionArtificial intelligence

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