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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841-850 订阅

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Comprehensive Evaluation Index of Wind Turbine Operation Fatigue Based on Equivalent Economic Loss

Comprehensive Evaluation Index of Wind Turbine Operation Fat...

引用

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

作者： Jing He Shaolin Li Qi Yao State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China Energy and Electricity Research Center Jinan University Zhuhai China

ISBN: (纸本)9781665476881

the fatigue analysis is important in the operation of the wind turbine. However, integrating the fatigue index of each substructure to construct the overall fatigue index of the wind turbine is difficult. Different from the existing research that only uses the weighted summation method to design the overall fatigue index, an index construction method that relates the operating fatigue to the economic loss is proposed. the cumulative damage of the structure is derived by using the damage equivalent load in the fatigue evaluation of each substructure of the wind turbine, and then the maintenance cost of each structure is analyzed in depth, and the maintenance cost function of each substructure is constructed to determine the economic loss equivalent to the cumulative damage of the structure. Since the proposed method converts fatigue damage into economic loss, the economic loss of each structure can be directly added to construct the overall equivalent economic loss index, which avoids the problem of custom weighting of the comprehensive index structure. Finally, simulation experiments verify the scientificity and superiority of the proposed indicator.

关键词： Costs Simulation Design methodology Optimal control Maintenance engineering Fatigue Wind turbines

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Auto-Tuning Deep Stereo on the Fly 11

Auto-Tuning Deep Stereo on the Fly

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11th IEEE Annual international conference on CYBER Technology in automation, control, and Intelligent Systems, CYBER 2021

作者： Ni, Zhiyi Jia, Tong Li, Xiaofang

ISBN: (纸本)9781665425278

Stereo depth estimation based on learning with CNNs has become the dominant paradigm due to their significant leap in performance. However, since the inconsistency of the distribution between the training data (synthetic image) and the actual scene, the generalization ability is insufficient for deployment. Recently, the work MADNet with modular adaptation was proposed to tackle this issue on the fly. However, it still runs slowly with not-so-ideal performance. this paper introduces a 'harmless training or inference' (HToI) framework to improve their work in both convergence and prediction speed. Firstly, in the actual scenario, the images arrive in sequence without ground-truth. Online adaptation to new target domains is only through self-supervised loss with errors (e.g., occluded areas). this paper introduces a confidence-weighted map (CWM) to mask the incorrect loss. the confidence map will guide the model to use the correct loss for online adaptation to obtain better accuracy. Secondly, this paper proposes a supervisor, implemented by Mann-Kendall trend detection on loss (MKL), to monitor the performance changes during the adaptation. According to the MKL, the model can autonomously determine whether to keep harmless training. If not training (i.e., only inference), the model will only predict the disparity, significantly reducing the running time. Finally, experiments on real-world stereo datasets confirm the effectiveness of CWM and MKL, which can make the model adapt to the scene more stably and accurately. © 2021 IEEE.

关键词： Computer vision

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A Predictor-like controller for Linear Ito Stochastic Systems with Input Delays 16

A Predictor-like Controller for Linear Ito Stochastic System...

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16th IEEE international conference on control, automation, robotics and vision (ICARCV)

作者： Wang, Hongxia Fu, Minyue Lu, Xiao Shandong Univ Sci & Technol Sch Elect Engn & Automat Qingdao Peoples R China Univ Newcastle Sch Elect Engn & Comp Sci Callaghan NSW 2308 Australia Guangzhou Univ Technol Sch Automat Guangzhou 510006 Peoples R China Guangdong Key Lab Intelligent Decis & Cooperat Co Guangzhou 510006 Peoples R China

ISBN: (纸本)9781728177090

Linear quadratic regulation (LQR) is very fundamental in modern control theory. the theory has been developing for several decades. However, a more general problem, the LQR problem for stochastic systems with multiple control channels and delays still remains outstanding. To better understand our idea, the paper focuses on dealing with the problem with two control channels and a delay, which is more difficult than the one with a single delayed control channel since the former actually encounters interaction of control channels besides the delay. A new value function is proposed, which is key for finding the predictor-like controller. the idea is also suitable for handling the LQR problem for Ito stochastic systems with multi-control-channel and multi-delay.

关键词： LQR stochastic systems input delay optimal control Ito stochastic systems

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Efficient Large Scale Stereo Matching based on Cross-Scale

Efficient Large Scale Stereo Matching based on Cross-Scale

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

作者： Yue Xia Zhitao Liu Hongye Su Hao Shu Polytechnic Institute Zhejiang University Hangzhou China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781665476881

We propose a binocular stereo matching algorithm CS-ELAS. this is a cross-scale ELAS algorithm that improves the accuracy and robustness of parallax in weakly textured regions and edge regions. Our approach focuses on improving the accuracy and number of support point sets. We uniformly sample the stereo images to obtain candidate support point sets and determine robustly matched support point sets based on an adaptive cross skeleton. In this way a richer and more accurate set of support points can be obtained in the weakly textured areas near the edges. In addition, our method uses the parallax and confidence maps of low-resolution images as a priori for high-resolution images and adds high-confidence pixel information to the set of high-resolution support points. In this way, it not only increases the number of support points in weak texture regions, but also narrows the search range of candidate support points and reduces the computational cost.

关键词： three-dimensional displays Image resolution automation Image edge detection Benchmark testing Skeleton Robustness

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TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction

TransFuseGrid: Transformer-based Lidar-RGB fusion for semant...

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

作者： Gustavo Salazar-Gomez David Sierra-Gonzalez Manuel Diaz-Zapata Anshul Paigwar Wenqian Liu Ozgur Erkent Christian Laugier Inria Univ. Grenoble-Alpes Grenoble France CITILab INSA Lyon Hacettepe University

ISBN: (纸本)9781665476881

Semantic grids are a succinct and convenient approach to represent the environment for mobile robotics and autonomous driving applications. While the use of Lidar sensors is now generalized in robotics, most semantic grid prediction approaches in the literature focus only on RGB data. In this paper, we present an approach for semantic grid prediction that uses a transformer architecture to fuse Lidar sensor data with RGB images from multiple cameras. Our proposed method, TransFuseGrid, first transforms both input streams into top-view embeddings, and then fuses these embeddings at multiple scales with Transformers. Finally, a decoder transforms the fused, top-view feature map into a semantic grid of the vehicle's environment. We evaluate the performance of our approach on the nuScenes dataset for the vehicle, drivable area, lane divider and walkway segmentation tasks. the results show that Trans-FuseGrid achieves superior performance than competing RGB-only and Lidar-only methods. Additionally, the Transformer feature fusion leads to a significative improvement over naive RGB-Lidar concatenation. In particular, for the segmentation of vehicles, our model outperforms state-of-the-art RGB-only and Lidar-only methods by 24% and 53%, respectively.

关键词： Laser radar Fuses Semantics Robot vision systems Transforms Streaming media Sensor fusion

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Decoupled load swing control of an overhead crane using Arduino controller 16

Decoupled load swing control of an overhead crane using Ardu...

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16th IEEE international conference on control, automation, robotics and vision (ICARCV)

作者： Garcia, F. Javier Luis, Gonzalez R. Poncela, Alfonso, V Moya, Eduardo Uniners Valladolid Inst Tuto Tecnol Aplicadas Prod Valladolid Spain Uniners Valladolid Escuela Ingn Ind Valladolid Spain Uniners Valladolid Dept Syst Engn & Control Escuela Ingn Ind Valladolid Spain

ISBN: (纸本)9781728177090

the paper presents a practical anti-sway crane controller based on classical PID and fuzzy logic as well. the proposed control consists of a position servo control and a load swing control, studying the interaction effects between both controllers. the proposed controllers provides practical gain tuning criteria for easy application. the effectiveness of the proposed control is shown by experiments with a two-dimensional prototype overhead crane, that it is used to serve the learning and practicing needs of the learners.

关键词： controllers

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Iterative learning control for distributed parameter systems using sensor-actuator network 16

Iterative learning control for distributed parameter systems...

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16th IEEE international conference on control, automation, robotics and vision (ICARCV)

作者： Patan, Maciej Klimkowicz, Kamil Patan, Krzysztof Univ Zielona Gora Inst Control & Computat Engn Zielona Gora Poland

ISBN: (纸本)9781728177090

the paper discusses an effective approach to iterative learning control synthesis for an important class of distributed parameter systems described by partial differential equations of diffusion-advection type. Such systems are frequently encountered in mathematical modelling of numerous physical processes. the optimal tracking problem is formulated in the spirit of the optimum experimental design theory for a measuring procedure provided with a sensor network over the multidimensional spatial domain. For such a general experimental setup, the convergence of the iterative control law is provided and decentralized control synthesis discussed as well. the study is illustrated with the application of the developed numerical scheme to the process of laser heating of a silicon wafers example.

关键词： Decentralized control

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A Computer vision Aided Fabric Flaw Detection Method with Improved YOLO V5 Using the Attention Mechanism 4

A Computer Vision Aided Fabric Flaw Detection Method with Im...

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4th international conference on robotics, Intelligent control and Artificial Intelligence, RICAI 2022

作者： Deng, Chaoyu Ju, Changjiang Jin, Guobiao Liu, Lin Wang, Guohuan Department of Automation Shanghai Jiao Tong University Shanghai China Ningbo Artificial Intelligence Institute of Shanghai Jiao Tong University Ningbo China Consinee Group Co. Ltd. Zhejiang China School of Materials Science and Engineering Zhejiang Sci-Tech University Zhejiang China China Mobile Group Hubei Co. Ltd. Wuhan China

ISBN: (纸本)9781450398343

A fabric quality detection method based on the YOLO architecture combined with the attention mechanism is proposed. A computer vision aided data acquisition system collects images for defect detection. the goal is to create clean samples for on-linear detection. the proposed method outperforms traditional flaw detection methods such as statistical analysis or heuristic algorithms in terms of accuracy and detection speed. A convolution neural network model is used to create the deep learning model, which detects defect features using cascade convolution layers and cross stage partial network structures as the backbone network. the leaky rectified linear unit and residual units are used to effectively determine and extract features. block attention module is used to improve detection accuracy even further. Fabric flaw quality detection can thus be kept effective and precise. For performance validation, an open source practically captured data set of fabric with and without flaws is used. © 2022 ACM.

关键词： Defects

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Customer behavior analytics using an autonomous robotics-based system 16

Customer behavior analytics using an autonomous robotics-bas...

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16th IEEE international conference on control, automation, robotics and vision (ICARCV)

作者： Petrovsky, Alexander Kalinov, Ivan Karpyshev, Pavel Kurenkov, Mikhail Ramzhaev, Vladimir Ilin, Valery Tsetserukou, Dzmitry Skolkovo Inst Sci & Technol Moscow 143026 Russia

ISBN: (纸本)9781728177090

this paper suggests a novel method for customer behavior analytics and demand distribution based on Radio Frequency Identification (RFID) stocktaking. Existing solutions lack applicability to real-life situations in retailing, which may result in unobservable loss of sales. the proposed solution provides new parameters of demand distribution to the retailer using a mobile robot for autonomous stocktaking of RFID-equipped shopping rooms. Built models depict location-related demand dependencies, the most and the least purchasable areas in a store, and precise localization of lost and moved items. Our research differs from the related works by the sheer size of the underlying data set collected in a real-world environment for more than ten months.

关键词： Sales

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Optimal control Approach for Rational Expectations Models with Longer Forward-Looking Time 16

Optimal Control Approach for Rational Expectations Models wi...

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16th IEEE international conference on control, automation, robotics and vision (ICARCV)

作者： Ma, Tianfu Xu, Juanjuan Zhang, Huanshui Basar, Tamer Shandong Univ Sch Control Sci & Engn Jinan 250061 Shandong Peoples R China Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA

ISBN: (纸本)9781728177090

this paper is concerned with the optimal control of rational expectations models in the general case of longer forward-looking time (d >= 2). the main contribution is the necessary and sufficient condition for the solvability of the finite-horizon problem. In particular, explicit characterizations of the optimal solution and the optimal cost are given in terms of difference equations. the key technique is to solve the forward and backward stochastic difference equations (FBSDEs) obtained by the stochastic maximum principle.

关键词： Optimal control Stochastic System Rational Expectations

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