Bi-objective bundle adjustment: towards large-scale visual sea-floor mapping with a minimal sensor suite
Contribuinte(s) |
Smith, Ryan N. |
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Data(s) |
11/07/2012
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Resumo |
Visual sea-floor mapping is a rapidly growing application for Autonomous Underwater Vehicles (AUVs). AUVs are well-suited to the task as they remove humans from a potentially dangerous environment, can reach depths human divers cannot, and are capable of long-term operation in adverse conditions. The output of sea-floor maps generated by AUVs has a number of applications in scientific monitoring: from classifying coral in high biological value sites to surveying sea sponges to evaluate marine environment health. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/53104/7/53104.pdf http://www2.isr.uc.pt/WREM2012//Home.html Warren, Michael, Corke, Peter, Pizarro, Oscar, William, Stefan, & Upcroft, Ben (2012) Bi-objective bundle adjustment: towards large-scale visual sea-floor mapping with a minimal sensor suite. In Smith, Ryan N. (Ed.) Workshop on Robotics for Environmental Monitoring , 11 July 2012, University of Sydney, NSW. |
Direitos |
Copyright 2012 [please consult the author] |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080101 Adaptive Agents and Intelligent Robotics #Bundle Adjustment #Visual Odometry #Autonomous Underwater Vehicle #Environmental Monitoring #Pose Estimation |
Tipo |
Conference Paper |