In-situ attitude calibration for high resolution bathymetric surveys with underwater robotic vehicles

In this paper we present a methodology for high resolution acoustic bathymetric mapping from a robotic underwater vehicle. Based on data obtained from navigation, attitude, and bathymetric sensors we show that precise calibration of attitude sensors is critical to obtaining high precision bathymetric surveys. We present an in-situ method for precision attitude sensor calibration based upon specific vehicle maneuvers. This method is demonstrated using data from an acoustic bathymetric survey of an archaeological site in the Mediterranean conducted by the authors with the Jason remotely operated vehicle.

[1]  T. Reed,et al.  A comparison of methods for quantitative analysis of sonar imagery and bathymetry. , 1991 .

[2]  Hanumant Singh,et al.  Towards Precision Robotic Maneuvering, Survey, and Manipulation in Unstructured Undersea Environments , 1998 .

[3]  M. Arellano,et al.  Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations , 1991 .

[4]  Ricardo Hausmann,et al.  Managing Fiscal Policy in Latin America and the Caribbean: Volatility, Procyclicality, and Limited Creditworthiness , 1996 .

[5]  M. Arellano,et al.  Another look at the instrumental variable estimation of error-components models , 1995 .

[6]  J. J. Crisp,et al.  High‐frequency bottom backscatter measurements in shallow water , 1986 .

[7]  Hanumant Singh,et al.  Quantitative seafloor characterization using a bathymetric sidescan sonar , 1994 .

[8]  Jonathan C. Howland,et al.  Quantitative photomosaicking of underwater imagery , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[9]  R. Blundell,et al.  Initial Conditions and Moment Restrictions in Dynamic Panel Data Models , 1998 .

[10]  Roberto Perotti,et al.  Fiscal Policy in Latin America , 1997, NBER Macroeconomics Annual.

[11]  Carlos A. Végh,et al.  Tax Base Variability and Procyclical Fiscal Policy , 1998 .

[12]  Ernesto H. Stein,et al.  Institutional Arrangements and Fiscal Performance: The Latin American Experience , 1998 .

[13]  T. Reed,et al.  Digital image processing techniques for enhancement and classification of SeaMARC II side scan sonar imagery , 1989 .

[14]  Christian de Moustier,et al.  Beyond bathymetry: Mapping acoustic backscattering from the deep seafloor with Sea Beam , 1986 .

[15]  D. Yoerger,et al.  Combined Doppler/LBL Based Navigation of Underwater Vehicles , 1999 .

[16]  Finn E. Kydland,et al.  Rules Rather than Discretion: The Inconsistency of Optimal Plans , 1977, Journal of Political Economy.

[17]  M. Hashem Pesaran,et al.  Pooled Mean Group Estimation of Dynamic Heterogeneous Panels , 1999 .

[18]  Stefan Gerlach,et al.  Who targets inflation explicitly , 1999 .

[19]  Paul R. Masson,et al.  The Scope for Inflation Targeting in Developing Countries , 1997, Macroeconomic Modelling and Monetary and Exchange Rate Regimes.

[20]  Harold K. Farr,et al.  Multibeam bathymetric sonar: Sea beam and hydro chart , 1980 .

[21]  Hanumant Singh,et al.  Advances in Doppler-based navigation of underwater robotic vehicles , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[22]  R. Lucas Econometric policy evaluation: A critique , 1976 .

[23]  P. Lane,et al.  The Cyclical Behaviour of Fiscal Policy: Evidence from the OECD , 2003 .

[24]  Hanumant Singh,et al.  Towards Precision Robotic Maneuvering , Survey , andManipulation in Unstructured Undersea , 1998 .

[25]  Ricardo Hausmann,et al.  Macroeconomic Volatility and Economic Development , 1998 .