2021
DOI: 10.1109/taes.2020.3044116
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Real-Time Model-Based Monocular Pose Tracking for an Asteroid by Contour Fitting

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Cited by 5 publications
(9 citation statements)
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“…Furthermore, compared with the existing method using 2D reprojections, our method determines the pose of asteroids by minimizing the line-to-plane angles, which is much more robust to the size of asteroids and position change (Hu et al, 2021). This paper is a great extension of our previous work (Liu et al, 2020b), but the methodology in this paper is completely new: 1) we propose a robust 2D-3D correspondence method based on the covariance of the pose, 2) we determine the asteroid pose by minimizing the angles between the projection planes of the extracted 3D contour segments and the back-projection lines of the corresponding 2D edge points, 3) we infer the covariance matrix of the estimated pose based on the firstorder optimality of the pose optimization, and 4) we use 2nd-AR-based SCKF to give the final pose estimate and initialize the pose tracking at the next time instant.…”
Section: Introductionmentioning
confidence: 88%
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“…Furthermore, compared with the existing method using 2D reprojections, our method determines the pose of asteroids by minimizing the line-to-plane angles, which is much more robust to the size of asteroids and position change (Hu et al, 2021). This paper is a great extension of our previous work (Liu et al, 2020b), but the methodology in this paper is completely new: 1) we propose a robust 2D-3D correspondence method based on the covariance of the pose, 2) we determine the asteroid pose by minimizing the angles between the projection planes of the extracted 3D contour segments and the back-projection lines of the corresponding 2D edge points, 3) we infer the covariance matrix of the estimated pose based on the firstorder optimality of the pose optimization, and 4) we use 2nd-AR-based SCKF to give the final pose estimate and initialize the pose tracking at the next time instant.…”
Section: Introductionmentioning
confidence: 88%
“…In addition, frequent rendering makes real-time implementation impossible. The edgebased methods acquire the pose by aligning the edge of the rendered CAD model with the image edges (Petit et al, 2012a;Petit et al, 2012b;Kanani et al, 2012;Oumer et al, 2015;Lourakis and Zabulis, 2017;Marchand et al, 2019;Liu et al, 2020b;Comellini et al, 2020;Huang et al, 2020;Lentaris et al, 2020). These methods are accurate and robust in complex illumination conditions and particularly suitable for smooth and poorly textured targets.…”
Section: Introductionmentioning
confidence: 99%
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“…The essence of the DM method is a template matching method based on distance. Many scholars have studied object recognition [26] and pose estimation [31] based on the DM method. However, they all extracted contour features of the object when using this method.…”
Section: The Distance Matching Methodsmentioning
confidence: 99%
“…Euclidean distance represents the exact distance between the template and the object image, and the other distances are approximate expressions of Euclidean distance [30]. The accuracy of the distance matching method depends on the accuracy of the given initial pose, and it is widely used to solve the pose based on contour features [31]. Hu et al [32] introduced a method to estimate the pose of the pipe, which firstly used a template matching method to estimate the pipe's initial pose, then used the least-squares method to obtain a more accurate pipe pose.…”
Section: Introductionmentioning
confidence: 99%