22 papers · ranked by Valyu relevance
Nguyen Hung, Francisco Rego, João Quintas, J. Cruz + 5 more
'David Souto' 'André Potes' 'Luís Sebastião' 'A. Pascoal'] This article presents an in-depth review of the topic of path following for autonomous robotic vehicles, with a specific focus on vehicle motion in two dimensional space (2D). From a control system standpoint, path following can be formulated as the problem of…
Lu Liu, Mengyuan Xue, Nan Guo, Zilong Wang + 4 more
'Qixing Tang' 'Mustafa Ilhan Akbas' 'Jun Chen'] In this paper, we propose an adaptive path tracking algorithm based on the BP (back propagation) neural network to increase the performance of vehicle path tracking in different paths. Specifically, based on the kinematic model of the vehicle, the front wheel steering…
Xiongwen Jiang, Taiga Kuroiwa, Yu Cao, Linfeng Sun + 4 more
With the rapid development of automation and intelligent technology, mobile robots have shown wide application potential in many fields, and accurate navigation systems are the key to robots completing tasks. This paper proposes an enhanced pure pursuit path tracking algorithm for mobile robots, which is optimized…
Huanyu Liu, Zhihang Han, Jiaqin Yin, Junwei Bao + 3 more
Introduction Tracked agricultural vehicles operating in complex farmland environments are prone to track slip, which degrades path-tracking accuracy and may lead to unstable motion. To address the limitations of conventional geometric tracking algorithms under slip conditions, this study proposes a slip-aware…
Frans Zdyb, Julius B. Kirkegaard
Biological image and video analysis is full of discrete decisions: whether an object is present, which multi-hypothesis detections are real, whether two detections are tracking the same object, or whether a cell divides or not. Standard pipelines resolve these locally and in sequence, e.g through non-max suppression…
Yohsuke T Fukai, Kyogo Kawaguchi, Hanchuan Peng
The implemented particle tracking algorithm follows the method proposed in , with modifications following TrackMate (; ) and additional flexibility, as we describe in the following sections. In the first step, the points in successive frames are connected by solving LAP, and then generating tracks without splits and…
Griffin Golias, Masa Nakura-Fan, Vitaly Ablavsky
—We propose a graph-based tracking formulation for multi-object tracking (MOT) where target detections contain kinematic information and re-identification features (attributes). Our method applies a successive shortest paths (SSP) algorithm to a tracking graph defined over a batch of frames. The edge costs in this…
Robin Köhler, Ismath Sadhir, Seán M. Murray
Fluorescent microscopy is the primary method to study DNA organization within cells. However the variability and low signal-to-noise commonly associated with live-cell time lapse imaging challenges quantitative measurements. In particular, obtaining quantitative or mechanistic insight often depends on the accurate…
Vincent Coulombe, David-Alexandre Roussel, Mohamad Sadegh Monfared, Quentin Leboulleux + 4 more
Mice living in complex social groups within ethological environments exhibit a wide range of adaptive behaviors, including individual and group dynamics, often undetected in standard behavioral studies. To better understand the coping and adaptive strategies employed by each member of a social colony, it is necessary…
Varun Sethi, Orr Spiegel, Richard Salter, Shlomo Cain + 2 more
Improved animal tracking technologies provide opportunities for novel segmentation of movement tracks/paths into behavioral activity modes (BAMs) critical to understanding the ecology of individuals and the functioning of ecosystems. Current BAM segmentation includes biological change point analyses and hidden Markov…
Christopher J. Soelistyo, Kristina Ulicna, Alan R. Lowe
Quantifying cell biology in space and time requires computational methods to detect cells, measure their properties, and assemble these into meaningful trajectories. In this aspect, machine learning (ML) is having a transformational effect on bioimage analysis, now enabling robust cell detection in multidimensional…
Clément Iphar, Anne-Laure Jousselme, Giuliana Pallotta
With an ever-increasing number of vessels at sea, the modelling, analysis and visualisation of maritime traffic are of paramount importance to support the monitoring tasks of maritime stakeholders. Sensors have been developed in this respect to track vessels and capture the maritime traffic at the global scale. The…
Cesar Augusto Canaveral, William Lata, Andrea Green, Paul Cisek
Accurate interaction with the environment relies on the integration of external information about the spatial layout of potential actions and knowledge of their costs and benefits. Previous studies have shown that when given a choice between voluntary reaching movements, humans tend to prefer actions with lower…
Michael Robinson, Michael Stein, Henry S. Owen
—This article addresses the problem of multi-object tracking by using a non-deterministic model of target behaviors with hard constraints. To capture the evolution of target features as well as their locations, we permit objects to lie in a general topological target configuration space, rather than a Euclidean space.…
Oliver J. Meacock, William M. Durham, Stefan Klumpp
Most bacteria live attached to surfaces in densely-packed communities. While new experimental and imaging techniques are beginning to provide a window on the complex processes that play out in these communities, resolving the behaviour of individual cells through time and space remains a major challenge. Although a…
Mojtaba S. Fazli, Shannon Quinn
Gap to Biomedical Advancements Authors: ['Mojtaba S. Fazli' 'Shannon Quinn'] The authors would like to thank Prof. Silvia N.J. Moreno and Prof. Gary E. Ward for their collaboration on Toxoplasma projects. We also acknowledge Prof. Chakra Chennubhotla and Prof. Frederick D Quinn for their collaboration on OrNet project.…
Authors not listed
Automated reaction path search based on quantum chemical calculations enables the construction of reaction path networks with minimal prior knowledge. When combined with kinetic simulation on the obtained network, essential mechanistic insights can be extracted to better understand and eventually design novel chemical…
Brandon Walker, Nathan Miller, Brett Yang, Dhatri V. L. Penna + 15 more
Rapid generation and evaluation of diverse synthesis pathways play a critical role in exploring a broader chemical space and identifying potent drug candidates. Drug discovery often relies on laborintensive manual processes for retro synthetic route finding, resulting in challenges related to scalability and…
Shin-ichi Koda, Shinji Saito
Rapid generation of a plausible reaction path connecting a given reactant and product in advance is crucial for the efficient computation of precise reaction paths or transition states. We propose a computationally efficient potential energy based on molecular structure to generate such paths. This potential energy has…
Tingwei Liu, Yasutomo Kawanishi, Takahiro Komamizu, Ichiro Ide
Detection History-aware Association Authors: ['Tingwei Liu' 'Yasutomo Kawanishi' 'Takahiro Komamizu' 'Ichiro Ide'] This paper focuses on tracking birds that appear small in a panoramic video. When the size of the tracked object is small in the image (small object tracking) and move quickly, object detection and…
Gergely Szabó, Paolo Bonaiuti, Andrea Ciliberto, András Horváth
The accurate tracking of live cells using video microscopy recordings remains a challenging task for popular state-ofthe-art image processing based object tracking methods. In recent years, several existing and new applications have attempted to integrate deep-learning based frameworks for this task, but most of them…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…