Technique and Implementation of Underwater Vehicle Station Keeping Based on Monocular Vision
HAO Ying-ming1,2, WU Qing-xiao1,2, ZHOU Chuan1, LI Shuo1, ZHU Feng1
1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China; 2. Graduate School of the Chinese Academy of Sciences, Beijing 100049, China
Abstract：According to the application background of the 7000m manned underwater vehicle and with monocular CCD cameras as sensors,two visual station keeping methods for underwater vehicle are proposed,i.e.the model-based monocular vision positioning for the target when model is known,and the feature-based visual servoing for the target when model is unknown.Based on the experiment platform of underwater vehicle control system made by ourselves,an underwater demonstration experiment system is developed with forward-looking cameras and man-made targets.Underwater demonstration experiments with the two station keeping methods are made in an indoor experimental pool.It is demonstrated that the vehicle can achieve station keeping under the closed loop control of the two proposed methods in the presence of man-made abrupt disturbances and current disturbances.
[1] Marks R L,Wang H H,Lee M J,et al.Automatic visual station keeping of an underwater robot[A]. Proceedings of the 1994 IEEE Oceans Conference[C]. Piscataway,USA:IEEE,1994.137-142. [2] Josko A C.Performance limitations in underwater acoustic telemetry[J]. IEEE Journal of Oceanic Engineering,1990,15(3):205-216. [3] Negahdaripour S,Shokrollahi A,Fox J,et al.Improved methods for undersea optical stationkeeping[A]. Proceedings of the 1991 IEEE International Conference on Robotics and Automation[C]. Piscataway,USA:IEEE,1991.2752-2758. [4] Jin L,Xu X,Negahdaripour S,et al.A real-time vision-based stationkeeping system for underwater robotics applications[A]. Proceedings of the Oceans'96 MTS/IEEE Conference on Prospects for the 21st Century[C]. New York,USA:IEEE,1996.1076-1081. [5] Negahdaripour S,Xu X,Khamene A,et al.3-D motion and depth estimation from sea-floor images for mosaic-based station-keeping and navigation of ROVs/AUVs and high-resolution sea-floor mapping[A]. Proceedings of the 1998 Workshop on Autonomous Underwater Vehicles[C]. New York,USA:IEEE,1998.191-200. [6] Negahdaripour S,Xu X,Jin L.Direct estimation of motion from sea floor images for automatic station-keeping of submersible platform[J]. IEEE Journal of Oceanic Engineering,1999,24(3):370-382. [7] Korntey N L,Stephen M R,Stephen D F.Station keeping of an ROV using vision technology[A]. Proceedings of the Oceans '97MTS/IEEE Conference[C]. New York,USA:IEEE,1997.634-640. [8] Lots J F,Lane D M,Trucco E.Application of 2 1/2 D visual servoing to tinderwater vehicle station-keeping[A]. Proceedings of the Oceans 2000 MTS/IEEE Conference and Exhibition on Where Marine Science and Technology Meet[C]. New York,USA:IEEE,2000.1257-1264. [9] Lots J F,Lane D M,Trucco E,et al.A 2-D visual servoing for underwater vehicle station keeping[A]. Proceedings of the 2001 IEEE International Conference on Robotics and Automation[C]. Piscataway,USA:IEEE,2001.2767-2772. [10] Cufi X,Garcia R,Ridao P.An approach to vision-based station keeping for an unmanned underwater vehicle[A]. Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems[C]. Piscataway,USA:IEEE,2002.799-804. [11] 吴清潇,李硕,郝颖明,等.基于模型的水下机器人视觉悬停定位技术[J]. 高技术通讯,2005,15(10):27-32. [12] Li S,Tang S H,Wu Q X,et al.Positioning of an underwater vehicle based on model-known vision system[A]. Proceedings of the Oceans 2005 MTS/IEEE Conference[M/CD]. New York,USA:IEEE,2005. [13] 周鑫,朱枫.关于P3P问题解的唯一性条件的几点讨论[J]. 计算机学报,2003,26(12):1696-1701. [14] 郝颖明,朱枫,欧锦军.目标位姿测量中的三维视觉方法[J]. 中国图象图形学报,2002,7(12):1247-1251. [15] 周船.基于单目视觉的高精度定位及运动估计研究[D]. 沈阳:中国科学院沈阳自动化研究所,2005.
