Long-term Mapping Techniques for Ship Hull Inspection and Surveillance using an Autonomous Underwater Vehicle

Author:

Ozog Paul1,Carlevaris-Bianco Nicholas1,Kim Ayoung2,Eustice Ryan M.3

Affiliation:

1. Department of Electrical Engineering and Computer Science; University of Michigan, Ann Arbor MI

2. Department of Civil and Environmental Engineering; Korea Advanced Institute of Science and Technology, Daejeon, S. Korea

3. Department of Naval Architecture and Marine Engineering; University of Michigan, Ann Arbor MI

Funder

Office of Naval Research

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference63 articles.

1. Agarwal , P. Tipaldi , G. D. Spinello , L. Stachniss , C. Burgard , W. 2013 Robust map optimization using dynamic covariance scaling Proceedings of the IEEE International Conference on Robotics and Automation 62 69 Karlsruhe, Germany

2. SURF: Speeded up robust features;Bay,2006

3. Belcher , E. Matsuyama , B. Trimble , G. 2001 Object identification with acoustic lenses Proceedings of the IEEE/MTS OCEANS Conference and Exhibition (Vol. 1, pp. 6-11) Kona, HI

4. Bonnín-Pascual , F. Ortiz , A. 2010 Detection of cracks and corrosion for automated vessels visual inspection Proceedings of the International Conference of the Catalan Association for Artificial Intelligence (pp. 111-120) Tarragona, Spain

5. Boon , B. Brennan , F. Garbatov , Y. Ji , C. Parunov , J. Rahman , T. Rizzo , C. Rouhan , A. Shin , C. Yamamoto , N. 2009 Condition assessment of aged ships and offshore structures International Ship and Offshore Structures Congress (Vol. 2, pp. 313-365) Seoul, Korea

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