수중 영상 소나의 번들 조정과 3차원 복원을 위한 운동 추정의 모호성에 관한 연구
Bundle Adjustment and 3D Reconstruction Method for Underwater Sonar Image
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초록
In this paper we present (1) analysis of imaging sonar measurement for two-view relative pose estimation of an autonomous vehicle and (2) bundle adjustment and 3D reconstruction method using imaging sonar. Sonar has been a popular sensor for underwater application due to its robustness to water turbidity and visibility in water medium. While vision based motion estimation has been applied to many ground vehicles for motion estimation and 3D reconstruction, imaging sonar addresses challenges in relative sensor frame motion. We focus on the fact that the sonar measurement inherently poses ambiguity in its measurement. This paper illustrates the source of the ambiguity in sonar measurements and summarizes assumptions for sonar based robot navigation. For validation, we synthetically generated underwater seafloor with varying complexity to analyze the error in the motion estimation.
Abstract
In this paper we present (1) analysis of imaging sonar measurement for two-view relative pose estimation of an autonomous vehicle and (2) bundle adjustment and 3D reconstruction method using imaging sonar. Sonar has been a popular sensor for underwater application due to its robustness to water turbidity and visibility in water medium. While vision based motion estimation has been applied to many ground vehicles for motion estimation and 3D reconstruction, imaging sonar addresses challenges in relative sensor frame motion. We focus on the fact that the sonar measurement inherently poses ambiguity in its measurement. This paper illustrates the source of the ambiguity in sonar measurements and summarizes assumptions for sonar based robot navigation. For validation, we synthetically generated underwater seafloor with varying complexity to analyze the error in the motion estimation.
참고문헌 (19)
- M.D. Aykin, "On feature extraction and region matching for forward scan sonar imaging", Proc. IEEE, 2012, 1~9
- Murat D. Aykin, "On feature matching and image registration for two-dimensional forward-scan sonar imaging", Journal of Field Robotics, 30(4), pp.602~623 (2013)
- R.I. Hartley, "Multiple View Geometry in Computer Vision" (2004), Cambridge University Press
- H. Johannsson, "Imaging sonar-aided navigation for autonomous underwater harbor surveillance", proc. IEEE, 2010, 4396~4403
- S. Negahdaripour, "On 3-d scene interpretation from f-s sonar imagery", Proc. IEEE, 2012, 1~9
- S. Negahdaripour, "Visual motion ambiguities of a plane in 2-d fs sonar motion sequences", Comput. Vis. Image Underst, 116(6), pp.754~764 (2012)
- S. Negahdaripour, "Performance and accuracy in visual motion computation from fs sonar video sequences", Proc. IEEE, 2010, 1~7
- D. G. Lowe, "Distinctive image features from scale invariant keypoints", Intl. J. Computer Vision, 60(2), pp.91~110 (2004)
- H. Bay, "Speeded up robust features(SURF)", Computer Vision and Image Understanding, 110(3), pp.346~359 (2008)
- Nat`alia Hurt´os, "Fourier-based registration for robust forward-looking sonar mosaicking in low-visibility underwater environments", Journal of Field Robotics, 32(1), pp.123~151 (2015)
- Noah Snavely, "Photo tourism: Exploring photo collections in 3d", SIGRAPH Conference Proceedings, pp.835~846 (2006), ACM Press
- S. Negahdaripour, "On processing and registration of forward-scan acoustic video imagery", Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on, pp.452~459 (2005)
- E. Trucco, "Feature tracking in video and sonar subsea sequences with applications", Computer Vision and Image Understanding, 79(1), pp.92~122 (2000)
- S. Negahdaripour, "On 3-d motion estimation from feature tracks in 2-d fs sonar video", IEEE Transaction on Robotics, 29(4), pp.1016~1030 (2013)
- T. A. Huang, "Towards acoustic structure from motion for imaging sonar", IEEE, 2015, ~
- Triggs, Bill, "Bundle adjustment—a modern synthesis,”Vision algorithms: theory and practice", pp.298~372 (2000), Springer
- 최진우, "확률적 방향각 추정에 기반한 수중 음원의 위치 인식 기법", 로봇학회 논문지, 9(4), pp.206~215 (2014), 한국로봇학회[DOI]
- 정석기, "UUV의 DVL 항법을 위한 자세 추정 방법 비교", 로봇학회 논문지, 9(4), pp.216~223 (2014), 한국로봇학회[DOI]
- 이영준, "소나 영상을 이용한 확률적 물체 인식 구조 기반 수중로봇의 위치추정", 로봇학회 논문지, 9(4), pp.232~241 (2014), 한국로봇학회[DOI]