A new method of terrain self-adaptive matching algorithm for autonomous underwater vehicle

As different underwater terrain features will affect the accuracy of unscented Kalman filter terrain matching algorithm, a new terrain self-adaptive matching method is proposed which adjusts sigma point distribution by terrain features. The connection between sigma point distribution distance and th...

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Veröffentlicht in:	Journal of physics. Conference series 2019-06, Vol.1237 (2), p.22014
Hauptverfasser:	Lu, Xiong, Jian, Shen, Xiaowen, Bi
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Algorithms Autonomous underwater vehicles Digital mapping Elevation Error analysis Kalman filters Matching Terrain
Online-Zugang:	Volltext
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