Relative localisation for AUV swarms
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Kottege, Navinda
Zimmer, Uwe
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Institute of Electrical and Electronics Engineers (IEEE Inc)
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In most robotic swarming applications each individual needs to know the positions and orientadons of at least its near neighbours. One way of achieving this local estimate underwater is by means of wide-bandwidth acoustic signals of specific statistical characteristics (maximum length sequence - MLS). The principal capability of local posture estimation has been demonstrated in [6, 7]. While previous results have been achieved off-line, e.g. have not been available to the vehicles while being in the swarm, this article reports about the first on-line evaluation test-runs.
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Proceedings of the 2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies
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2037-12-31