Loosely-Coupled Vision/INS Integrated Navigation System
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Since GPS signals are vulnerable to interference and obstruction, many alternate aiding systems have been proposed to integrate with an inertial navigation system. Among these alternate systems, the vision-aided method has become more attractive due to its benefits in weight, cost and power consumption. This paper proposes a loosely-coupled vision/INS integrated navigation method which can work in GPS-denied environments. The proposed method improves the navigation accuracy by correcting INS navigation and sensor errors using position and attitude outputs of a landmark based vision navigation system. Furthermore, it has advantage to provide redundant navigation output regardless of INS output. Computer simulations and the van tests have been carried out in order to show validity of the proposed method. The results show that the proposed method works well and gives reliable navigation outputs with better performance.
Abstract
Since GPS signals are vulnerable to interference and obstruction, many alternate aiding systems have been proposed to integrate with an inertial navigation system. Among these alternate systems, the vision-aided method has become more attractive due to its benefits in weight, cost and power consumption. This paper proposes a loosely-coupled vision/INS integrated navigation method which can work in GPS-denied environments. The proposed method improves the navigation accuracy by correcting INS navigation and sensor errors using position and attitude outputs of a landmark based vision navigation system. Furthermore, it has advantage to provide redundant navigation output regardless of INS output. Computer simulations and the van tests have been carried out in order to show validity of the proposed method. The results show that the proposed method works well and gives reliable navigation outputs with better performance.
참고문헌 (13)
- Herbert Bay, "Speeded-Up Robust Features (SURF)", Computer Vision and Image Understanding, 110(3), pp.346~359 (2008), Elsevier BV[DOI]
- Wei Gao, "A Strapdown Interial Navigation System", Beidou, Sensors, pp.2014, 14(1)[DOI]
- George, M, "Camera aided inertial navigation in poor GPS environments", Proc. of Aerospace Conference IEEE 2007, pp.1~12 (2007)
- DRORA GOSHEN-MESKIN, "Unified approach to inertial navigation system error modeling", Journal of Guidance, Control, and Dynamics, 15(3), pp.648~653 (1992), American Institute of Aeronautics and Astronautics (AIAA)[DOI]
- Groves, P. D, "Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems" (2008), Artech House
- "The PNT Boom: Future Trends in Integrated Navigation" (2013)[URL]
- 김영선, "랜드마크가 충분하지 않은 환경에서의 관성", 비전 통합항법시스템, 2014, pp.63(1), 123~131[DOI]
- 오승진, "INS", 영상센서 결합 항법시스템 설계, 2006, pp.12(10), 982~988[DOI]
- P. M. Panchal, "A Comparison of SIFT and SURF", International Journal of Innovative Research in Computer and Communication Engineering, 1(2), pp.323~327 (2013)
- Tardif, J. P, "A New Approach to Vision-Aided Inertial Navigation", Proc. of 2010 IEEE, 2010, 4161~4168
- M. J. VETH, "Navigation Using Images, A Survey of Techniques", Navigation, 58(2), pp.127~139 (2011), Wiley-Blackwell[DOI]
- Wang, W, "Land vehicle navigation using odometry", INS, Proc. of 2008 IEEE International Conference on Cybernetics Intelligent Systems, pp.2008[DOI]
- Yue, D. X, "INS", VNS fusion based on unscented particle filter, 2007, 151~156
