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Structural parameterizations of Tracking Paths problem [PDF]
Theoretical Computer Science, 2022 Given a graph $G$ with source and destination vertices $s,t\in V(G)$ respectively, \textsc{Tracking Paths} asks for a minimum set of vertices $T\subseteq V(G)$, such that the sequence of vertices encountered in each simple path from $s$ to $t$ is unique.
Venkaṭesh Raman, Pratibha Choudhary
exaly +3 more sources
Polynomial kernels for tracking shortest paths
Information Processing Letters, 2023 Given an undirected graph $G=(V,E)$, vertices $s,t\in V$, and an integer $k$, Tracking Shortest Paths requires deciding whether there exists a set of $k$ vertices $T\subseteq V$ such that for any two distinct shortest paths between $s$ and $t$, say $P_1$ and $P_2$, we have $T\cap V(P_1)\neq T\cap V(P_2)$.
Václav Blażej +2 more
exaly +4 more sources
Maps for Easy Paths (MEP): Accessible Paths Tracking and Reconstruction [PDF]
EAI Endorsed Transactions on Internet of Things, 2017 MEP (Maps for Easy Paths) is a project for the enrichment of geographical maps with information about accessibility of urban pedestrian pathways, targeted at people with mobility problems.
S. Comai +3 more
doaj +1 more source
Path Tracking in Motion Planning [PDF]
The Computer Journal, 1993 Summary: The inverse kinematics problem asks to determine the configurations of a robot manipulator that places the tip of the robot in a given position and orientation. The generalization of this problem, called path tracking or path following, is to determine if there exists a path of a manipulator in which the tip follows a given path.
M. J. González-López, Tomás Recio
openaire +2 more sources
A novel validation algorithm allows for automated cell tracking and the extraction of biologically meaningful parameters. [PDF]
PLoS ONE, 2011 Automated microscopy is currently the only method to non-invasively and label-free observe complex multi-cellular processes, such as cell migration, cell cycle, and cell differentiation. Extracting biological information from a time-series of micrographs
Daniel H Rapoport +4 more
doaj +1 more source
MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation.
PLoS ONE, 2023 This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group.
Luc Nicolas Stiemer +2 more
doaj +1 more source
Adaptive Multiprecision Path Tracking [PDF]
SIAM Journal on Numerical Analysis, 2008 This article treats numerical methods for tracking an implicitly defined path. The numerical precision required to successfully track such a path is difficult to predict a priori, and indeed it may change dramatically through the course of the path. In current practice, one must either choose a conservatively large numerical precision at the outset or ...
Daniel J. Bates +3 more
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Path assignment techniques for vehicle tracking [PDF]
2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014 6 pages, 9 ...
Richard Altendorfer +1 more
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Multi-Target Tracking Method Based on Multi-Agent Collaborative Reinforcement Learning [PDF]
Jisuanji gongcheng, 2020 There are multiple problems with existing multi-target tracking methods,including low learning speed,inefficient tracking and high difficulty in collaborative tracking strategy design.To this end,this paper proposes an improved multi-target tracking ...
WANG Yiran, JING Xiaochuan, JIA Fukai, SUN Yujian, TONG Yi
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Nonlinear Model Predictive Controller and Feasible Path Planning for Autonomous Robots
Open Computer Science, 2016 This paper develops the nonlinear model predictive control (NMPC) algorithm to control autonomous robots tracking feasible paths generated directly from the nonlinear dynamic equations.NMPC algorithm can secure the stability of this dynamic system by ...
Minh Vu Trieu
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