Towards improvement of autonomous glider navigation accuracy through the use of regional ocean models
Smith, Ryan N., Kelly, Jonathan , Chao, Yi , Jones, Burton H. , & Sukhatme, Gaurav S. (2010) Towards improvement of autonomous glider navigation accuracy through the use of regional ocean models. In Proceedings of the 29th International Conference on OCean, Offshore and Arctic Engineering, ASME - American Society Mechanical Engineering, Grand Hyatt Hotel, Shanghai, China, pp. 597-606.
|Accepted Version (PDF 325kB) |
Administrators only | Request a copy from author
Autonomous underwater gliders are robust and widely-used ocean sampling platforms that are characterized by their endurance, and are one of the best approaches to gather subsurface data at the appropriate spatial resolution to advance our knowledge of the ocean environment. Gliders generally do not employ sophisticated sensors for underwater localization, but instead dead-reckon between set waypoints. Thus, these vehicles are subject to large positional errors between prescribed and actual surfacing locations. Here, we investigate the implementation of a large-scale, regional ocean model into the trajectory design for autonomous gliders to improve their navigational accuracy. We compute the dead-reckoning error for our Slocum gliders, and compare this to the average positional error recorded from multiple deployments conducted over the past year. We then compare trajectory plans computed on-board the vehicle during recent deployments to our prediction-based trajectory plans for 140 surfacing occurrences.
Impact and interest:
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.
Repository Staff Only: item control page