Extending persistent monitoring by combining ocean models and Markov decision processes
Al-Sabban, Wesam H., Gonzalez, Luis F., & Smith, Ryan N. (2012) Extending persistent monitoring by combining ocean models and Markov decision processes. In Proceedings of the 2012 MTS/IEEE Oceans Conference, Hampton Roads, Virginia.
![[img]](http://eprints.qut.edu.au/style/images/fileicons/application_pdf.png)
Abstract
Ocean processes are complex and have high variability in both time and space. Thus, ocean scientists must collect data over long time periods to obtain a synoptic view of ocean processes and resolve their spatiotemporal variability. One way to perform these persistent observations is to utilise an autonomous vehicle that can remain on deployment for long time periods. However, such vehicles are generally underactuated and slow moving. A challenge for persistent monitoring with these vehicles is dealing with currents while executing a prescribed path or mission. Here we present a path planning method for persistent monitoring that exploits ocean currents to increase navigational accuracy and reduce energy consumption.
Citations:
Citation countsare sourced monthly from Scopus and Web of Science 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 the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
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.
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page