Bi-objective bundle adjustment: towards large-scale visual sea-floor mapping with a minimal sensor suite
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.
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.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Bundle Adjustment, Visual Odometry, Autonomous Underwater Vehicle, Environmental Monitoring, Pose Estimation|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 [please consult the author]|
|Deposited On:||16 Aug 2012 13:48|
|Last Modified:||04 Feb 2013 13:12|
Repository Staff Only: item control page