AUV SLAM and experiments using a mechanical scanning forward-looking sonar

Bo He, Yan Liang, Xiao Feng, Rui Nian, Tianhong Yan, Minghui Li, Shujing Zhang

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Abstract

Navigation technology is one of the most important challenges in the applications of autonomous underwater vehicles (AUVs) which navigate in the complex undersea environment. The ability of localizing a robot and accurately mapping its surroundings simultaneously, namely the simultaneous localization and mapping (SLAM) problem, is a key prerequisite of truly autonomous robots. In this paper, a modified-FastSLAM algorithm is proposed and used in the navigation for our C-Ranger research platform, an open-frame AUV. A mechanical scanning imaging sonar is chosen as the active sensor for the AUV. The modified-FastSLAM implements the update relying on the on-board sensors of C-Ranger. On the other hand, the algorithm employs the data association which combines the single particle maximum likelihood method with modified negative evidence method, and uses the rank-based resampling to overcome the particle depletion problem. In order to verify the feasibility of the proposed methods, both simulation experiments and sea trials for C-Ranger are conducted. The experimental results show the modified-FastSLAM employed for the navigation of the C-Ranger AUV is much more effective and accurate compared with the traditional methods.
Original languageEnglish
Pages (from-to)9386-9410
Number of pages25
JournalSensors
Volume12
Issue number7
DOIs
Publication statusPublished - 9 Jul 2012

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Keywords

  • autonomous underwater vehicles
  • navigation technology
  • sonar
  • robots

Cite this

He, B., Liang, Y., Feng, X., Nian, R., Yan, T., Li, M., & Zhang, S. (2012). AUV SLAM and experiments using a mechanical scanning forward-looking sonar. Sensors, 12(7), 9386-9410. https://doi.org/10.3390/s120709386