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Automatic Estimation of Boresight Angles Between IMU and Multi-Beam Echo Sounder Sytems

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Quantitative Monitoring of the Underwater Environment

Part of the book series: Ocean Engineering & Oceanography ((OEO,volume 6))

Abstract

Nowadays, the boresight calibration between IMU (Inertial Measurement Unit) and MBES (Multi-Beam Echo Sounder) systems is achieved by the patch-test procedure which estimates the three boresight angles: roll, pitch and yaw. That procedure consists in two steps. The first one is the selection of an overlapping area. That selection is done thanks to the experience of a surveyor. The second step evaluates the roll, pitch and yaw angles separately by a method which tries a subset of possible angles. For theses possible angles, the discrepancy between digital terrain models (one DTM by survey line) is calculated in the previous selected area and the minimum is assumed to be the “optimal” solution. This paper presents some preleminary results from a research project between FUGRO, ENSTA Bretagne and CIDCO. This project aim is to design new methods in the calibration topic. These procedures use multi-dimensional optimization concepts in order to provide statistical analysis which should appear in any calibration report.

Kees de Jong—Deceased

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References

  1. Calder B. R., Brennan R. T, Malzone C., Marcus J., & Canter P. (2007). Application of High-Precision Timing to Distributed Survey Systems, Proceedings of the US-Hydro Conference, Norfolk, VA.

    Google Scholar 

  2. Filin, S. (2003). Recovery of systematic biases in laser altimetry data using natural surfaces. Photogrammetric Engineering and Remote Sensing, 69, 1235–1242.

    Article  Google Scholar 

  3. Filin S., & Vosselman G. (2004). Adjustment of airborne laser altimetry strips. In: ISPRS Congress Istanbul, Proceedings of Commission III.

    Google Scholar 

  4. Glennie, C. (2007). Rigorous 3d error analysis of kinematic scanning lidar systems. Journal of Applied Geodesy, 1, 147–157.

    Article  Google Scholar 

  5. Grejner-Brzezinska, D. A., Toth, C. K., Sun, H., Wang, X., & Rizos, C. (2011). A robust solution to high-accuracy geolocation: Quadruple integration of gps, imu, pseudolite, and terrestrial laser scanner. IEEE Transactions on instrumentation and measurement, 11, 3694–3708.

    Article  Google Scholar 

  6. Kumari, P., Carter, W. E., & Shrestha, R. L. (2011). Adjustment of systematic errors in als data through surface matching. Advances in Space Research, 47, 1851–1864.

    Article  Google Scholar 

  7. Morin K., & El-Sheimy, N. (2002). Post-mission adjustment methods of airborne laser scanning data. In: FIG XXII International Congress, Washington DC, 19–26 Apr 2002.

    Google Scholar 

  8. Schenk, T. (2001). Modeling and analyzing systematic errors of airborne laser scanners. Technical report, Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, Columbus, OH.

    Google Scholar 

  9. Seube, N., Picard, A., & Rondeau, M. (2012). A simple method to recover the latency time of tactical grade IMU systems. ISPRS Journal of Photogrammetry and Remote Sensing, 74(2012), 85–89.

    Article  Google Scholar 

  10. Skaloud, J., & Litchi, D. (2006). Rigorous approach to boresight self-calibration in airborne laser scanning. ISPRS Journal of Photogrammetry and remote Sensing, 61, 47–59.

    Article  Google Scholar 

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Correspondence to Nicolas Seube .

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Seube, N., Levilly, S., de Jong, K. (2016). Automatic Estimation of Boresight Angles Between IMU and Multi-Beam Echo Sounder Sytems. In: Zerr, B., et al. Quantitative Monitoring of the Underwater Environment. Ocean Engineering & Oceanography, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-32107-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-32107-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32105-9

  • Online ISBN: 978-3-319-32107-3

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