Results 41 to 50 of about 5,484 (295)

Multi UAV Coverage Path Planning in Urban Environments

open access: yesSensors, 2021
Coverage path planning (CPP) is a field of study which objective is to find a path that covers every point of a certain area of interest. Recently, the use of Unmanned Aerial Vehicles (UAVs) has become more proficient in various applications such as ...
Javier Muñoz   +5 more
doaj   +1 more source

Counting cases in substitope algorithms

open access: yes, 2004
We describe how to count the cases that arise in a family of visualization techniques, including Marching Cubes, Sweeping Simplices, Contour Meshing, Interval Volumes, and Separating Surfaces.
Banks, D.C.   +2 more
core   +1 more source

FM2 Path Planner for UAV Applications with Curvature Constraints: A Comparative Analysis with Other Planning Approaches

open access: yesSensors, 2022
This paper studies the Fast Marching Square (FM2) method as a competitive path planner for UAV applications. The approach fulfills trajectory curvature constraints together with a significantly reduced computation time, which makes it overperform with ...
Santiago Garrido   +5 more
doaj   +1 more source

Fast Marching Methods - parallel implementation and analysis

open access: yes, 2008
Fast Marching represents a very efficient technique for solving front propagation problems, which can be formulated as partial differential equations with Dirichlet boundary conditions, called Eikonal equation: $F(x)|\nabla T(x)|=1$, for $x \in \Omega ...
Tugurlan, Maria Cristina
core   +1 more source

An Accelerated Dual Fast Marching Tree Applied to Emergency Geometric Trajectory Generation

open access: yesAerospace, 2022
This paper addresses the generation of aircraft emergency trajectories with obstacle avoidance. After presenting in detail the fast marching tree algorithm, in this paper we propose an improvement of its performance.
Andréas Guitart   +2 more
doaj   +1 more source

A fast marching algorithm for the factored eikonal equation [PDF]

open access: yesJournal of Computational Physics, 2016
The eikonal equation is instrumental in many applications in several fields ranging from computer vision to geoscience. This equation can be efficiently solved using the iterative Fast Sweeping (FS) methods and the direct Fast Marching (FM) methods.
Eran Treister, Eldad Haber
openaire   +3 more sources

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

open access: yesMolecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi   +14 more
wiley   +1 more source

Fast Marching-based globally stable motion learning [PDF]

open access: yes, 2017
In this paper, a novel motion learning method is introduced: Fast Marching Learning (FML). While other learning methods are focused on optimising probabilistic functions or fitting dynamical systems, the proposed method consists on the modification of ...
Álvarez Sánchez, David   +3 more
core   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

open access: yesMolecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu   +13 more
wiley   +1 more source

Perspective shape-from-shading by fast marching [PDF]

open access: yesProceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004
Shape-from-shading (SfS) is a fundamental problem in computer vision. At its basis lies the image irradiance equation. Recently, the authors proposed to base the image irradiance equation on the assumption of perspective projection rather than the common orthographic one.
Ariel Tankus   +2 more
openaire   +2 more sources

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