Multimodal learning for autonomous underwater vehicles from visual and bathymetric data

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2014, Pages 3819-3825

  Rao, Dushyant ^a   De Deuge, Mark ^a   Nourani Vatani, Navid ^a   Douillard, Bertrand ^b   Williams, Stefan B ^a   Pizarro, Oscar ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BATHYMETRY; ECOSYSTEMS; MAPPING; SHIPS;

AUTONOMOUS UNDERWATER VEHICLES (AUVS); BATHYMETRIC DATA; BENTHIC HABITATS; CLASSIFICATION PERFORMANCE; CLASSIFICATION PROCESS; MULTI-MODAL LEARNING; MULTIBEAM BATHYMETRY; MULTIMODAL MODELING;

AUTONOMOUS UNDERWATER VEHICLES;

EID: 84929191679     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2014.6907413     Document Type: Conference Paper

References (21)

1. H. Singh, A. Can, R. Eustice, S. Lerner, N. McPhee, O. Pizarro, and C. Roman, "Seabed AUV offers new platform for high-resolution imaging, " Transactions American Geophysical Union, vol. 85, no. 31, pp. 289-296, 2004.
2. S. Williams, O. Pizarro, M. Jakuba, and N. Barrett, "AUV benthic habitat mapping in South Eastern Tasmania, " in Field and Service Robotics, 2010, pp. 275-284.
3. V. E. Kostylev, B. J. Todd, G. B. Fader, R. Courtney, G. D. Cameron, and R. A. Pickrill, "Benthic habitat mapping on the Scotian Shelf based on multibeam bathymetry, surficial geology and sea floor photographs, " Marine Ecology Progress Series, vol. 219, pp. 121-137, 2001.
4. D. Steinberg, "An unsupervised approach to modelling visual data, " Ph.D. dissertation, University of Sydney, 2013.
5. C. J. Brown, S. J. Smith, P. Lawton, and J. T. Anderson, "Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques, " Estuarine, Coastal and Shelf Science, vol. 92, no. 3, pp. 502-520, 2011.
6. P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol, "Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion, " The Journal of Machine Learning Research, vol. 11, pp. 3371-3408, 2010.
7. M. Marcos, M. Soriano, and C. Saloma, "Classification of coral reef images from underwater video using neural networks, " Optics Express, vol. 13, no. 22, pp. 8766-71, 2005.
8. O. Beijbom, P. J. Edmunds, D. I. Klinez, B. G. Mitchellz, and D. Kriegman, "Automated Annotation of Coral Reef Survey Images, " in IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2012.
9. D. M. Steinberg, S. B. Williams, O. Pizarro, and M. V. Jakuba, "Towards autonomous habitat classification using Gaussian Mixture Models, " in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2010, pp. 4424-31.
10. A. Bender, S. B. Williams, and O. Pizarro, "Classification with probabilistic targets, " in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2012, pp. 1780-86.
11. P. Rigby, O. Pizarro, and S. B. Williams, "Toward adaptive benthic habitat mapping using gaussian process classification, " Journal of Field Robotics, vol. 27, no. 6, pp. 741-758, 2010.
12. A. Coates, H. Lee, and A. Y. Ng, "An analysis of singlelayer networks in unsupervised feature learning, " NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2010.
13. G. Hinton, "A practical guide to training restricted boltzmann machines, " Department of Computer Science, University of Toronto, Tech. Rep., 2010.
14. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, " in Proceedings of the 26th Annual Int. Conf. on Machine Learning, 2009, pp. 609-616.
15. J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Y. Ng, "Multimodal deep learning, " in Proceedings of the 28th Annual Int. Conf. on Machine Learning, 2011, pp. 689-696.
16. N. Srivastava and R. Salakhutdinov, "Multimodal learning with deep boltzmann machines, " in Advances in Neural Information Processing Systems, vol. 25, 2012, pp. 2231-2239.
17. G. Irie, D. Liu, Z. Li, and S.-F. Chang, "A bayesian approach to multimodal visual dictionary learning, " in IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 329-336.
18. J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification, " in IEEE Int. Conf. on Computer Vision and Pattern Recognition, 2009, pp. 1794-1801.
19. P. Vincent, "A connection between score matching and denoising autoencoders, " Neural computation, vol. 23, no. 7, pp. 1661-1674, 2011.
20. M. Spinoccia, "Bathymetry grids of south east tasmania shelf, " Geosciences Australia, 2011. [Online]. Available: http://www.ga.gov.au/marine/bathymetry.html
21. A. Friedman, O. Pizarro, S. B. Williams, and M. Johnson-Roberson, "Multi-scale measures of rugosity, slope and aspect from benthic stereo image reconstructions, " PloS one, vol. 7, no. 12, 2012.