检索结果-内蒙古大学图书馆

6th International Conference on Knowledge and Systems Engineering, KSE 2014

作者： Viet, Vo Hoai Ngoc, Ly Quoc Son, Tran Thai Computer Vision and Robotics Department University of Science - VNU - HCMC Ho Chi Minh Viet Nam

ISBN: (纸本)9783319116792

Automatic human action recognition is an interesting and challenging problem in computer vision. Furthermore, it has wide range of real-world applications such as human-machine interaction, surveillance system, data-driven automation, smart home and robotics. In the recent years, the availability of 3D sensors has recently made it possible to capture depth maps in real time, which simplifies variety of visual recognition tasks, including action classification, 3D reconstruction, etc? We address here the problem of human action recognition in depth sequences. On one hand, we present a novel for human action recognition based on 2DPCA applied to DMM. Then, we project feature matrixes into difference spaces to create robust action representation. Finally, we use GA to create the coefficients for multi- SVM classifiers. Our approach is systematically examined on benchmark datasets such as MSR-Gesture3D and MSR-Action3D which results with an overall accuracy of 91.32% on the MSR-Action3D and 94.89% on the MSR-Gesture3D. The experimental results also indicated that the extraction of features and representation are effective and shows the effective of our proposal. © Springer International Publishing Switzerland 2015.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Coverage-driven verification — An approach to verify code for robots that directly interact with humans 11th

Coverage-driven verification — An approach to verify code f...

引用

11th International Haifa Verification Conference, HVC 2015

作者： Araiza-Illan, Dejanira Western, David Pipe, Anthony Eder, Kerstin Department of Computer Science and Bristol Robotics Laboratory University of Bristol Bristol United Kingdom Bristol Robotics Laboratory University of the West of England Bristol United Kingdom

ISBN: (纸本)9783319262864

Collaborative robots could transform several industries, such as manufacturing and healthcare, but they present a significant challenge to verification. The complex nature of their working environment necessitates testing in realistic detail under a broad range of circumstances. We propose the use of Coverage-Driven Verification (CDV) to meet this challenge. By automating the simulation-based testing process as far as possible, CDV provides an efficient route to coverage closure. We discuss the need, practical considerations, and potential benefits of transferring this approach from microelectronic design verification to the field of human-robot interaction. We demonstrate the validity and feasibility of the proposed approach by constructing a custom CDV testbench and applying it to the verification of an object handover task. © Springer International Publishing Switzerland 2015.

关键词： Machine design

来源：评论

学校读者我要写书评

暂无评论

Pedestrian classification using k-means and Random Decision Forests 2

Pedestrian classification using k-means and Random Decision ...

引用

2014 Joint Conference on 2nd SBR Brazilian robotics Symposium, 11th LARS Latin American robotics Symposium and 6th Robocontrol Workshop on Applied robotics and Automation, SBR LARS Robocontrol 2014

作者： Alencar, Francisco A.R. Filho, Carlos Massera Silva, Diego Gomes Da Wolf, Denis F. Mobile Robotics Laboratory Institute of Mathematics and Computer Science University of Sao Paulo Sao Paulo Brazil

ISBN: (纸本)9781479967117

In field of autonomous and intelligent vehicles, the goal of pedestrian classification is to reduce amount of accidents. The object classification accuracy depends on the type of classifier and the extracted object features used for classification. Support Vector Machines (SVM), is considered the most effective classifier for this task. However, it depends on a number of factors that require researchers to perform several modifications to obtain a good result with adequate performance. This study presents a promising alternative with fewer parameters, which works on large datasets, and reduced runtime. It also has the advantage of allowing the data analysis between every step of the algorithm. Differently from SVM, which can be considered as a black box approach, our method uses a k-means cluster technique combined with a radial basis function to transform data into a smaller and more relevant set, where the classification is performed using random decision forest. Experimental results show very satisfactory classification, efficient computational performance, simplicity of use, and reduced setup. © 2014 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Validation of cognitive models for collaborative hybrid systems with discrete human input

Validation of cognitive models for collaborative hybrid syst...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Abraham P. Vinod Yuqing Tang Meeko M. K. Oishi Katia Sycara Christian Lebiere Michael Lewis Electrical and Computer Engineering University of New Mexico Albuquerque USA Robotics Institute Carnegie Mellon University Pittsburg PA USA Computer Science Carnegie Mellon University Pittsburgh PA USA Information Sciences and Intelligent Systems University of Pittsburgh PA USA

ISBN: (纸本)9781509037636

We present a method to validate a cognitive model, based on the cognitive architecture ACT-R, in dynamic human-automation systems with discrete human input. We are inspired by the general problem of K-choice games as a proxy for many decision making applications in dynamical systems. We model the human as a Markovian controller based on gathered experimental data, that is, a non-deterministic control input with known likelihoods of control actions associated with certain configurations of the state-space. We use reachability analysis to predict the outcome of the resulting discrete-time stochastic hybrid system, in which the outcome is defined as a function of the system trajectory. We suggest that the resulting expected outcomes can be used to validate the cognitive model against actual human subject data. We apply our method to a two-choice game in which the human is tasked with maximizing net coverage of a robotic swarm that can operate under rendezvous or deployment dynamics. We validate the corresponding ACTR cognitive model generated with the data from eight human subjects. The novelty of this work is (1) a method to compute expected outcome in a hybrid dynamical system with a Markov chain model of the human's discrete choice, and (2) application of this method to validation of cognitive models with a database of actual human subject data.

关键词： Human-automation interaction Reachability analysis Cognitive models ACTR Human-in-the-loop systems Markov controller Hybrid systems

来源：评论

学校读者我要写书评

暂无评论

PREFACE

引用

JOURNAL OF CONTEMPORARY CHINESE ART 2017年第1期4卷 3-4页

作者： Jiang Jiehong Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Baden-Württemberg Karlsruhe Germany Department of Information Technology and Human Factors National Institute of Advanced Industrial Science and Technology Tsukuba Japan Seoul National University Seoul South Korea Jacobs School of EngineeringInstitute for Contextual Robotics San Diego CA United States Department of Computer Science Stanford University Stanford CA United States

来源：评论

学校读者我要写书评

暂无评论

Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces

Towards force sensing from vision: Observing hand-object int...

引用

IEEE Conference on computer Vision and Pattern Recognition, CVPR 2015

作者： Pham, Tu-Hoa Kheddar, Abderrahmane Qammaz, Ammar Argyros, Antonis A. CNRS-AIST Joint Robotics Laboratory Japan CNRS-UM LIRMM IDH France Institute of Computer Science FORTH Greece Computer Science Department University of Crete Greece

ISBN: (纸本)9781467369640

We present a novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single RGB-D camera. We consider a manipulated object with known geometrical and physical properties. First, we rely on model-based visual tracking to estimate the object's pose together with that of the hand manipulating it throughout the motion. Following this, we compute the object's first and second order kinematics using a new class of numerical differentiation operators. The estimated kinematics is then instantly fed into a second-order cone program that returns a minimal force distribution explaining the observed motion. However, humans typically apply more forces than mechanically required when manipulating objects. Thus, we complete our estimation method by learning these excessive forces and their distribution among the fingers in contact. We provide a full validity analysis of the proposed method by evaluating it based on ground truth data from additional sensors such as accelerometers, gyroscopes and pressure sensors. Experimental results show that force sensing from vision (FSV) is indeed feasible. © 2015 IEEE.

关键词： Kinematics

来源：评论

学校读者我要写书评

暂无评论

Unsupervised learning using the tensor voting graph 5

Unsupervised learning using the tensor voting graph

引用

5th International Conference on Scale Space and Variational Methods in computer Vision, SSVM 2015

作者： Deutsch, Shay Medioni, Gérard Computer Science Department Institute for Robotics and Intelligent Systems University of Southern California Los Angeles United States

ISBN: (纸本)9783319184609

Tensor Voting is a local, non parametric method that provides an efficient way to learn the complex geometric manifold structure under a significant amount of outlier noise. The main limitation of the Tensor Voting framework is that it is strictly a local method, thus not efficient to infer the global properties of complex manifolds. We therefore suggest constructing a unique graph which we call the Tensor Voting Graph, in which the affinity is based on the contribution of neighboring points to a point local tangent space estimated by Tensor Voting. The Tensor Voting Graph compactly and effectively represents the global structure of the underlying manifold. We experimentally demonstrate that we can accurately estimate the geodesic distance on complex manifolds, and substantially outperform all state of the art competing approaches, especially when outliers are present. We also demonstrate our method’s superior ability to segment manifolds, first on synthetic data, then on standard data sets for a motion segmentation, with graceful degradation in the presence of noise. © IFIP International Federation for Information Processing 2015.

关键词： Tensors

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Observation of an ultra-high-energy cosmic neutrino with KM3NeT

引用

Nature 2025年第8057期640卷 E3页

作者： S. Aiello R. Bruno G. Ferrara E. Leonora F. Longhitano N. Randazzo A. Sinopoulou I. Tosta e Melo A. Albert D. Drouhin T. Pradier A. R. Alhebsi S. Thoudam A. van Vliet M. Alshamsi V. Bertin M. Breuhaus J. Brunner J. Busto L. Cerisy P. Coyle B. De Martino D. Dornic J.-G. Ducoin A. Enzenhöfer S. Henry D. Joly S. Lancelin S. Le Stum N. Lumb F. Magnani C. Paries M. Perrin-Terrin G. Vannoye S. Alves Garre A. Bariego-Quintana D. Calvo V. Cecchini A. Garcia Soto S. R. Gozzini J. J. Hernández-Rey A. Lazo N. Lessing J. Palacios González E. J. Pastor Gomez J. Prado D. Real A. Šaina F. Salesa Greus A. Sánchez Losa J. D. Zornoza J. Zúñiga A. Ambrosone M. Bendahman M. Benhassi C. Bozza R. M. Bozza R. Buompane A. Condorelli A. De Benedittis L. A. Fusco L. Gialanella W. Idrissi Ibnsalih A. Manfreda A. Marinelli F. Marzaioli S. Mastroianni G. Miele P. Migliozzi M. L. Mitsou C. M. Mollo L. Morales-Gallegos M. R. Musone V. Oliviero C. Poirè I. C. Rea A. Simonelli B. Spisso D. Vivolo F. Ameli A. Capone S. Celli I. Di Palma S. Gagliardini M. Mastrodicasa C. A. Nicolau A. Tudorache A. Veutro A. Zegarelli M. Andre M. Anghinolfi F. Badaracco B. Caiffi V. Ellajosyula C. Guidi V. Kulikovskiy L. Malerba M. Marconi B. Ó Fearraigh V. Parisi A. Romanov M. Sanguineti M. Taiuti S. Zavatarelli L. Aphecetche F. Bretaudeau R. Dallier V. Decoene L. Martin M. Ardid S. Ardid J. García Méndez C. A. Quiroz-Rangel C. Argüelles N. Kamp A. Y. Wen H. Atmani J. Boumaaza A. Eddymaoui Y. Tayalati J. Aublin B. Baret Y. Becherini T. Cartraud J. A. B. Coelho A. Coleiro S. Colonges A. Creusot C. Donzaud M. Eff S. El Hedri I. Goos P. Goswami A. Ilioni A. Kouchner M. Lindsey Clark E. Oukacha S. Peña Martínez R. Pestes A. Sharma B. Trocmé V. Van Elewyck C. Verilhac I. Lhenry-Yvon L. Bailly-Salins M. Bennani B. Guillon M. Labalme C. Lastoria G. Lehaut I. Mozun Mateo V. Pestel A. Vacheret Z. Bardačová E. Eckerová F. Mamedov Y. Shitov I. Štekl R. Dvornický F. Šimkovic F. Benfenati Gualandi F. Carenini P. Castaldi T. Chiarusi I. Del Rosso G. Levi A. Margiotta R. Muller INFN Sezione di Catania (INFN-CT) Catania Italy INFN Laboratori Nazionali del Sud (LNS) Catania Italy Dipartimento di Fisica e Astronomia “Ettore Majorana” Università di Catania (INFN-CT) Catania Italy Université de Strasbourg CNRS IPHC UMR 7178 Strasbourg France Université de Haute Alsace Mulhouse France Department of Physics Khalifa University Abu Dhabi United Arab Emirates Aix Marseille Université CNRS/IN2P3 CPPM Marseille France IFIC - Instituto de Física Corpuscular (CSIC - Universitat de València) Paterna Spain INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Napoli Italy Università di Napoli “Federico II” Dip. Scienze Fisiche “E. Pancini” Complesso Universitario di Monte S. Angelo Napoli Italy Dipartimento di Matematica e Fisica Università degli Studi della Campania “Luigi Vanvitelli” Caserta Italy Dipartimento di Fisica Università di Salerno e INFN Gruppo Collegato di Salerno Fisciano Italy INFN Sezione di Roma Roma Italy Dipartimento di Fisica Università La Sapienza Roma Italy Laboratori d’Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Universitat Politècnica de Catalunya Vilanova i la Geltrú Spain INFN Sezione di Genova Genova Italy Università di Genova Genova Italy LPC CAEN Normandie Université ENSICAEN UNICAEN CNRS/IN2P3 Caen France Subatech IMT Atlantique IN2P3-CNRS Nantes Université Nantes France Instituto de Investigación para la Gestión Integrada de las Zonas Costeras Universitat Politècnica de València Gandia Spain Department of Physics Harvard University Cambridge MA USA Laboratory for Particle Physics and Cosmology Lyman Laboratory Harvard University Cambridge MA USA Faculty of Sciences University Mohammed V in Rabat Rabat Morocco Institute of Applied Physics Mohammed VI Polytechnic University Ben Guerir Morocco Astroparticule et Cosmologie Université Paris Cité CNRS Paris France Institut Universitaire de France Paris France Institute of Experimental and Applied Physics

来源：评论

学校读者我要写书评

暂无评论

Data driven Adaptive Traffic simulation of an expressway 16

Data driven Adaptive Traffic simulation of an expressway

引用

Simulation Winter Conference

作者： Abhinav Sunderrajan Vaisagh Viswanathan Wentong Cai Alois Knoll TUM CREATE Ltd SINGAPORE School of Computer Science & Engineering Nanyang Technological University SINGAPORE Robotics and Embedded Systems Group Technische Universität München Garching bei München GERMANY

ISBN: (纸本)9781509044849

Ubiquitous data from a variety of sources such as smart phones, vehicles equipped with GPS receivers and fixed sensors makes it an exciting time for the implementation of several Advanced Traffic Information and Management Systems (ATMS). Leveraging this data for current traffic state estimation along with short term predictions of traffic flow can have far reaching implications for the next generation of Intelligent Transportation Services (ITS). In this paper, we present our proof-of-concept of such a data driven traffic simulation for the short term prediction and control of traffic flow by simulating a real world expressway through dynamic ramp-metering.

关键词： Predictive models Vehicles Computational modeling Data models Adaptation models Symbiosis Microscopy

来源：评论

学校读者我要写书评

暂无评论

Delay-based numerical stability of the partitioned-solution approach

Delay-based numerical stability of the partitioned-solution ...

引用

IEEE General Meeting Power& Energy Society

作者： Federico Milano Dept. of EE-Systems TAU Tel Aviv Israel Laboratory of Robotics and Systems in Engineering and Science (LARSyS) University of Lisbon Lisbon Portugal Department of Electrical and Computer Engineering University of Macau Macao China

This paper proposes a technique to evaluate the numerical stability and accuracy of the Partitioned-Solution Method (PSA) for the time domain integration of the Differential Algebraic Equations (DAEs) that are used for power system angle and voltage stability analyses. The partitioned approach consists in solving differential equations and algebraic constraints separately. While efficient, this technique introduces a “mismatch” between state and algebraic variables. The paper states the formal analogy of such a mismatch with a time delay of algebraic variables. Then a Small-signal Stability Analysis (SSSA) for Delay Differential Algebraic Equation (DDAE) is applied to define the numerical stability of the PSA as a function of the integration time step. Results are tested using the IEEE 14-bus system as well as a 1,479-bus model of the all-island Irish system.

关键词： Power system stability Numerical stability Stability analysis Mathematical model Numerical models Delay effects Delays

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：