Side scan sonar based onboard SLAM system for autonomous underwater vehicles

The paper describes a Simultaneous Localization and Mapping (SLAM) system suitable for an autonomous underwater vehicle (AUV) equipped with a dead reckoning system and a side scan sonar (SSS). The system was developed with the intention to compensate position drifts of an AUV navigation system during a mission. The processing chain consists of an automatic landmark detector, an automatic data association module and the SLAM filter. This paper presents results showing that our onboard SLAM approach successfully reduces navigational drifts.

[1]  Y. Petillot,et al.  Concurrent mapping and localization using sidescan sonar , 2004, IEEE Journal of Oceanic Engineering.

[2]  H. Bleuler,et al.  Terrain-based navigation for underwater vehicles using side scan sonar images , 2008, OCEANS 2008.

[3]  Gerald J. Dobeck,et al.  Automated detection and classification of sea mines in sonar imagery , 1997, Defense, Security, and Sensing.

[4]  M. B. Larsen,et al.  Synthetic long baseline navigation of underwater vehicles , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[5]  John J. Leonard,et al.  Efficient AUV navigation fusing acoustic ranging and side-scan sonar , 2011, 2011 IEEE International Conference on Robotics and Automation.

[6]  David Ribas Romagós Underwater slam for structured environments using an imaging sonar , 2008 .

[7]  Hugh F. Durrant-Whyte,et al.  Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.

[8]  David P. Williams,et al.  A fast physics-based, environmentally adaptive underwater object detection algorithm , 2011, OCEANS 2011 IEEE - Spain.

[9]  Juan D. Tardós,et al.  Data association in stochastic mapping using the joint compatibility test , 2001, IEEE Trans. Robotics Autom..