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检索条件"任意字段=18th International Conference on Control Automation Robotics and Vision"

共 5313 条记录，以下是1331-1340 订阅

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CNN based on LBP for Evaluating Natural Disasters 15

CNN based on LBP for Evaluating Natural Disasters

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Cirneanu, Andrada Livia Popescu, Dan Ichim, Loretta Univ Politehn Bucuresti Fac Automat Control & Comp Sci Bucharest Romania Univ Politehn Bucuresti Fac Automat Control & Comp 313 Splaiul Independentei Bucharest 060042 Romania

ISBN: (纸本)9781538695821

this paper presents a novel evaluation method of areas affected by natural disasters with the purpose of managing these crisis situations. Since it is necessary to have a real overview of a specific area in the shortest time, our methodology proposes a neural network with backpropagation approach for flood detection from UAV images. For this, the Local Binary Pattern (LBP) texture operator is used for areas classification. the LBP operator labels each pixel of the analyzed image by comparing it with its neighbors, which ends with the computation of a binary number that it is converted to decimal format named LBP code. thus, based on the generated LBP codes, a histogram type feature is computed and used in both training and testing phases of the proposed neural network. Over 50 images obtained with the aid of UAV technology were tested with the proposed neural network and good results in terms of accuracy for flood areas detection were obtained.

关键词： Local binary pattern

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Galvanometer scanner modeling for Selective Laser Melting deflection system simulation 15

Galvanometer scanner modeling for Selective Laser Melting de...

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Rasoanarivo, Fetra Rodriguez-Ayerbe, Pedro Dumur, Didier Univ Paris Saclay Univ Paris Sud Lab Signaux & Syst L2S UMR8506 CNRSCent SupelecControl Dept F-91190 Gif Sur Yvette France

ISBN: (纸本)9781538695821

Modeling of the actuating element of the three axis galvanometer based actuator for Selective Laser Melting (SLM) additive manufacturing (AM) process is addressed in this paper. Dynamic behavior of the single axis galvanometer motor actuator is studied with physical considerations that improve basic linear and simplified existing models and extend the frequency domain validity of the proposed model. Optimal feedback and feedforward-type control structure synthesis is derived through a black-box identification of the actual industrial system for the models validation purpose. Responses of the developed models are compared to experimental data. Modeling errors coming from both the actuator behavior (angular position values) and the marking process qualities (marking and focusing planes geometrical parameters) are found to be sufficiently small to allow the developed simulator to be used as an entry point for future investigations on the the single axis motor and the complete three axis actuator system.

关键词： Actuators

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Automatic Perpendicular and Diagonal Unparking Using a Multi-Sensor-Based control Approach 15

Automatic Perpendicular and Diagonal Unparking Using a Multi...

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Perez-Morales, David Kermorgant, Olivier Dominguez-Quijada, Salvador Martinet, Philippe Ecole Cent Nantes Nantes France LS2N UMR 6004 Nantes France Inria Sophia Antipolis Sophia Antipolis France LS2N Nantes France

ISBN: (纸本)9781538695821

this paper explores the feasibility of a Multi-Sensor-Based control (MSBC) approach for addressing forward nonparallel (perpendicular and diagonal) unparking problems of car-like vehicles as an alternative to classical approaches (e. g. path planning based, etc.). the results of individual cases are presented to illustrate the behavior and performance of the proposed approach as well as results from exhaustive simulations to evaluate the convergence and stability. the results presented in this work increase the versatility and validity of our MSBC approach towards a fully autonomous parking system.

关键词： Motion planning

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Output Feedback Reinforcement Q-learning for Optimal Quadratic Tracking control of Unknown Discrete-Time Linear Systems and Its Application 15

Output Feedback Reinforcement Q-learning for Optimal Quadrat...

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Zhao, Guangyue Sun, Weijie Cai, He Peng, Yunjian South China Univ Technol Coll Automat Sci & Engn Guangzhou 510640 Guangdong Peoples R China

ISBN: (纸本)9781538695821

In this paper, a novel output feedback solution based on the Q-learning algorithm using the measured data is proposed for the linear quadratic tracking (LQT) problem of unknown discrete-time systems. To tackle this technical issue, an augmented system composed of the original controlled system and the linear command generator is first constructed. then, by using the past input, output, and reference trajectory data of the augmented system, the output feedback Q-learning scheme is able to learn the optimal tracking controller online without requiring any knowledge of the augmented system dynamics. Learning algorithms including both policy iteration (PI) and value iteration (VI) algorithms are developed to converge to the optimal solution. Finally, simulation results are provided to verify the effectiveness of the proposed scheme.

关键词： Learning algorithms

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Parabolic Sliding Mode Filtering with Feed-forward Compensation 15

Parabolic Sliding Mode Filtering with Feed-forward Compensat...

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15th international conference on control, automation, robotics and vision (ICARCV)

作者： Jin, Shanhai Wang, Xiaodan Jin, Yonggao Xiong, Xiaogang Yanbian Univ Sch Engn Yanji 133002 Peoples R China Harbin Inst Technol Shenzhen Grad Sch Sch Mech Engn & Automat Shenzhen 518055 Peoples R China

ISBN: (纸本)9781538695821

In motion control systems, feedback signals are often corrupted by noise because of environmental disturbances and measurement errors. thus, filters are necessary to remove noise to obtain reliable signals. this paper proposes a new sliding mode filter that possesses a parabolic-shaped sliding surface. the proposed filter is an extension of a Jin et al.'s parabolic sliding mode filter by including feed-forward compensating terms for accelerating the tracking speed between the output and the input. Its discrete-time algorithm is developed by using the backward Euler discretization, and its discrete-time implementation does not produce chattering. A numerical example is executed for validating the effectiveness and advantage of the proposed filter.

关键词： Motion control

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Observers and Invariant Sets for Lure-type Nonlinear Systems using LPV-Embedding 15

Observers and Invariant Sets for Lure-type Nonlinear Systems...

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Hanafi, Ainain N. Seron, Maria M. De Dona, Jose A. Univ Tekn Malaysia Melaka Fac Elect Engn Melaka 76100 Malaysia Univ Newcastle Sch Elect Engn & Comp Prior Res Ctr Complex Dynam Syst & Control Callaghan NSW Australia

ISBN: (纸本)9781538695821

this paper deals with observers for Lure-type nonlinear systems designed so that the associated estimation error dynamics are bounded in an invariant set. the design uses the LPV-embedding technique, whereby the nonlinearity is redefined in terms of a time-varying parameterised linear function, called the 'LPV parameter'. For LPV parameters with bounded variation, invariant sets for the original nonlinear system are computed by embedding the LPV system into a convex polytopic description. the trajectories of the estimation error are guaranteed to be bounded and remain in the computed invariant set, which exists if a condition in terms of the system matrices and parameters is satisfied. We show that arbitrarily small estimation error bounds can be achieved for some classes of systems. We illustrate the results via a simulation example of a flexible manipulator.

关键词： Nonlinear systems

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Bipartite Consensus Problem of Second-order Multi-agent Systems with Disturbances 15

Bipartite Consensus Problem of Second-order Multi-agent Syst...

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Tian, Hang Liu, Cheng-Lin Liu, Guang-Ye Jiangnan Univ Inst Automat Minist Educ Key Lab Adv Proc Control Light Ind Wuxi 214122 Peoples R China Shanghai Keliang Informat Tech & Engn Co Ltd Shanghai 200233 Peoples R China

ISBN: (纸本)9781538695821

this paper studies the bipartite consensus problem for second-order multi-agent systems with distinct disturbances. the interactions between agents are described by a signed directed graph. For structurally balanced networks, a generalized bipartite consensus algorithm with disturbances' observers is proposed. Necessary and sufficient conditions are obtained to achieve bipartite consensus with the well designed algorithm by using frequency-domain analysis and matrix theory. Finally, simulations are shown to verify the correctness of presented results.

关键词： Bipartite consensus second-order multi-agent systems disturbances' observer generalized bipartite consensus algorithm

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Multi-Scale YOLOv2 for Hand Detection in Complex Scenes 15

Multi-Scale YOLOv2 for Hand Detection in Complex Scenes

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15th international conference on control, automation, robotics and vision (ICARCV)

作者： Chen, Jia Ni, Zihan Sang, Nong Huazhong Univ Sci & Technol Key Lab Minist Educ Image Proc & Intelligent Control Sch Automat Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781538695821

this paper presents a model named Multi-Scale YOLOv2 (MS-YOLOv2) for hand detection in complex scenes. the proposed MS-YOLOv2 is implemented by introducing three modules to YOLOv2, including a Multi-Scale Feature Refinement Module to acquire fine-grained features, a Channel Importance Evaluation Module to recalibrate feature channels and a Hard Example Punishment Module to get rid of hand interference areas. Experiment results show that the proposed MS-YOLOv2 makes much performance improvement to YOLOv2, but with little computational complexity gain. On our dataset, the proposed MS-YOLOv2 can achieve 98.2% of AP and 97.9% of AR. Moreover, on the VIVA challenge, the proposed MS-YOLOv2 achieves AP/AR of 85.1%/45.8% at Level-1 and 80.1%/45.9% at Level-2.

关键词： Palmprint recognition

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Learning Under-specified Object Manipulations From Human Demonstrations 15

Learning Under-specified Object Manipulations From Human Dem...

引用

15th international conference on control, automation, robotics and vision (ICARCV)

作者： Qian, Kun Xu, Jun Gao, Ge Fang, Fang Ma, Xudong Southeast Univ Sch Automat Key Lab Measurement & Control CSE Minist Educ 2 Sipailou Nanjing 210096 Jiangsu Peoples R China

ISBN: (纸本)9781538695821

Learning by Demonstration (LbD) allows robots to acquire manipulation skills through human demonstration. In this regard, it is a challenging task to perceive spatial-temporal relations between sub-activities and object affordance in human demonstrations, especially when they are under-specified. this work extends the Probability Graph Model based methods to incorporate high-level demonstration classification. We propose an approach to model the semantics of human demonstration using Programming Domain Description Language (PDDL). therefore, hidden motion primitives that are impossible to be learned directly from observing human demonstration in noisy video data can be inferred and the robot's plans are refined. Experimental results validate the effectiveness of the proposed method, in which more refined scripts can be generated for robot's execution.

关键词： Learning by Demonstration Service Robot PDDL CRF Object Affordance

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Number Recognition of Parts Book Schematics using Convolutional Recurrent Neural Network 18

Number Recognition of Parts Book Schematics using Convolutio...

引用

18th international conference on control, automation and Systems (ICCAS)

作者： Genc, Erdal Shin, Hee Ran Park, Jang Sik Kyunsung Univ Dept Elect & Elect Engn 48434 309 Suyeong Ro Busan South Korea

ISBN: (纸本)9788993215151

OCR (Optical Character Recognition) has been becoming a vital method to recognize digits, letters, symbols and so on. the main idea is basically the conversion of data files which consists of handwritten or machine-written digits or characters into a type to let the machine make edits and read. this way, it lets computers read articles or books. they can also read images and make the conversion to a text file by using OCR. there are two important benefits of OCR. First, is the enhancement of the device to operate more productively even if the number of employees is decreased. Secondly, is the increase in the efficiency of the storage. this paper compares two state-of-the-art OCR algorithms in a simulated environment by using modified dataset. Simulation results are shown in part 4.

关键词： OCR MLP Deep Learning Computer vision RNN LSTM Image Processing

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