JIAPS - On the marching path
نویسندگان
چکیده
منابع مشابه
Improving Sampling-Based Path Planning Methods with Fast Marching
Sampling-based path planning algorithms are well-known because they are able to find a path in a very short period of time, even in high-dimensional spaces. However, they are non-smooth, random paths far away from the optimum. In this paper we introduce a novel improving technique based on the Fast Marching Method which improves in a deterministic, non-iterative way the initial path provided by...
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This work presents a path planning algorithm for 3D robot formations based on the standard Fast Marching Square (FM2) path planning method. This method is enlarged in order to apply it to robot formations motion planning. The algorithm is based on a leader-followers scheme, which means that the reference pose for the follower robots is defined by geometric equations that place the goal pose of ...
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Being on the right pathThe 1st issue of the Iranian Journal of Radiation Research (IJRR) was published two years ago (June 2003). This journal was initiated to bring together the various disciplines of radiation oncology, radiation biology, medical physics, nuclear medicine and other related subjects to intensify the dialogue between basic and clinical researchers especially those working in Ir...
متن کاملOn Marching Cubes
A characterization and classification of the isosurfaces of trilinear functions is presented. Based upon these results, a new algorithm for computing a triangular mesh approximation to isosurfaces for data given on a 3D rectilinear grid is presented. The original marching cubes algorithm is based upon linear interpolation along edges of the voxels. The asymptotic decider method is based upon bi...
متن کاملOn the Accuracy of Anisotropic Fast Marching
The fast marching algorithm, and its variants, solves numerically the generalized eikonal equation associated to an underlying riemannian metric M. A major challenge for these algorithms is the non-isotropy of the riemannian metric, which magnitude is characterized by the anisotropy ratio κ(M) ∈ [1,∞]. Applications of the eikonal equation to image processing [1, 3] often involve large anisotrop...
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ژورنال
عنوان ژورنال: Journal of Indian Association of Pediatric Surgeons
سال: 2005
ISSN: 0971-9261
DOI: 10.4103/0971-9261.16961