DocumentCode :
3393312
Title :
Large-Scale Habitat Mapping Using Vision-Based AUVs: Experiences, Challenges & Vehicle Design
Author :
Dunbabin, Matthew D. ; Allen, Simon S.
Author_Institution :
CSIRO ICT Centre, Kenmore
fYear :
2007
fDate :
18-21 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper overviews the development of a vision-based AUV along with a set of complementary operational strategies to allow reliable autonomous data collection in relatively shallow water and coral reef environments. The development of the AUV, called Starbug, encountered many challenges in terms of vehicle design, navigation and control. Some of these challenges are discussed with focus on operational strategies for estimating and reducing the total navigation error when using lower-resolution sensing modalities. Results are presented from recent field trials which illustrate the ability of the vehicle and associated operational strategies to enable rapid collection of visual data sets suitable for marine research applications.
Keywords :
oceanographic equipment; oceanographic techniques; oceanography; remotely operated vehicles; underwater vehicles; Starbug; autonomous data collection; coral reef environment; habitat mapping; lower-resolution sensing modality; marine research; shallow water; vehicle control; vehicle design; vehicle navigation; vision-based AUV; visual data; Acoustics; Australia; Diversity reception; Laboratories; Large-scale systems; Marine vehicles; Mobile robots; Navigation; Remotely operated vehicles; Simultaneous localization and mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2007 - Europe
Conference_Location :
Aberdeen
Print_ISBN :
978-1-4244-0635-7
Electronic_ISBN :
978-1-4244-0635-7
Type :
conf
DOI :
10.1109/OCEANSE.2007.4302309
Filename :
4302309
Link To Document :
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