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2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)最新文献

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An End-to-End Model for Printed Uyghur Text Recognition 基于端到端模型的维吾尔文字识别
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046535
Zhiwei You, Qiong Li, Chuang Liu
{"title":"An End-to-End Model for Printed Uyghur Text Recognition","authors":"Zhiwei You, Qiong Li, Chuang Liu","doi":"10.1109/ICARCE55724.2022.10046535","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046535","url":null,"abstract":"The recognition method based on the end-to-end model has a wide range of applications in Chinese and English text recognition, but there are few researches of Uygur text recognition. Using the end-to-end method can effectively avoid the wrong recognition problem caused by the mis-segmentation of Uyghur letters. Based on the Transformer model, we propose a model named EfficientNet-Transformer for printed Uyghur text recognition. By replacing the SE attention of EfficientNet with Triplet attention, the computing ability of the network for spatial and channel attention is improved. The encoder of the original Transformer model is replaced by an improved EfficientNet, which makes the model simpler and fewer parameters. The dataset is expanded by synthesizing words through Uyghur syllable rules, and comparative experiments are carried out on this dataset by using our model with other’s RNN-based model. Experiments show this model is superior to others models in Character error rate, recognition speed and space occupation.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116801903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
3D gated Imaging Using a Unet Model 使用Unet模型的3D门控成像
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046538
Siqing Zhang, Xiaoquan Liu
{"title":"3D gated Imaging Using a Unet Model","authors":"Siqing Zhang, Xiaoquan Liu","doi":"10.1109/ICARCE55724.2022.10046538","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046538","url":null,"abstract":"Range gated 3D imaging is widely used in space imaging, distance measurement, automatic driving and other application scenarios. A range gated 3D imaging system based on neural network is proposed. The system inputs three range gated images through convolutional neural network, and then outputs a depth map. A single convolutional neural network is proposed to process range gated images, and a multi-scale loss function is used. The test results on the real data set of outdoor driving show that the model trained on the GPU(graphics processing unit) in this paper realizes range gated 3D imaging.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"8 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120883812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the Design of a Sensor-based Firefighters Safety Guardian System 基于传感器的消防员安全守护系统设计研究
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046554
Yonglin Xiang, Man Wang, Shanshan Liu, Xixi Xiong, Jiaye Luo, Junhui Xiao
{"title":"Research on the Design of a Sensor-based Firefighters Safety Guardian System","authors":"Yonglin Xiang, Man Wang, Shanshan Liu, Xixi Xiong, Jiaye Luo, Junhui Xiao","doi":"10.1109/ICARCE55724.2022.10046554","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046554","url":null,"abstract":"In order to ensure the safety of firefighters who have deepened the fire on the fire, a firefighter security guard system based on sensor technology was designed. This device can monitor the live signs of firefighters and harmful gases and upload firefighter signs and harmful gas concentrations data to the system to view and control. The detection data exceeds the preset threshold to send an early warning signal to the firefighters and the mobile terminal. By testing in different environments, the temperature, heart rate, and harmful gas concentration measured by the system are very accurate, and the changes in the concentration of harmful gases are very sensitive.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Underwater Image Enhancement Method Based on Dark Channel Prior and Guided Filtering 基于暗通道先验和引导滤波的水下图像增强方法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046569
Haoming Song, Wenlong Xia, Jiaheng Kang, Shenli Zhang, Cheng Ye, Weidong Kang, Teoh Teik Toe
{"title":"Underwater Image Enhancement Method Based on Dark Channel Prior and Guided Filtering","authors":"Haoming Song, Wenlong Xia, Jiaheng Kang, Shenli Zhang, Cheng Ye, Weidong Kang, Teoh Teik Toe","doi":"10.1109/ICARCE55724.2022.10046569","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046569","url":null,"abstract":"This paper presents a comprehensive enhancement method based upon Underwater Dark Channel Prior (UDCP) and Guided Filtering for standard RGB underwater images without depth information. Firstly, color compensation and Gray World Algorithm are used to correct the color of images obtained underwater. After that, the restored image is dehazed by using the optimized dehazing algorithm created on UDCP. The dehazing algorithm proposed in this study is obtained by reconstructing the ambient light transmittance expression in UDCP. It effectively avoids the “excessive dehazing” caused by traditional dehazing algorithms, and it can also optimize the depth of field of dehazed images. At the same time, due to the complexity of underwater dark channel image dehazing, the dehazed image will still produce fuzzy white areas in zones with large pixel color difference changes (such as the boundary of objects). Therefore, our method adds an image fusion approach built upon guided filtering to optimize the dehazed image to eliminate the white areas to enhance the image clarity further. At last, this paper compares the image enhancement effect of our method with that of other four methods such as Unified Generative Adversarial Networks (UGAN) by using five objective image evaluation indexes such as Underwater Color Image Quality Evaluation (UCIQE).","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129535036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Computer Aided Research on Efficient Simulation Prediction and Anti-Deformation Suppression Method for Aviation Panel Riveting Deformation 航空板件铆接变形高效仿真预测及抗变形抑制方法的计算机辅助研究
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046645
Yonggang Chen, Yonggang Kang, Tianyu Wang, Huantian Xiao
{"title":"Computer Aided Research on Efficient Simulation Prediction and Anti-Deformation Suppression Method for Aviation Panel Riveting Deformation","authors":"Yonggang Chen, Yonggang Kang, Tianyu Wang, Huantian Xiao","doi":"10.1109/ICARCE55724.2022.10046645","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046645","url":null,"abstract":"Aviation panel structure is a typical assembly of aircraft. During the assembly process of metal panel, the inherent forming and connecting characteristics of the riveting process will cause macroscopic deformation such as local subsidence and overall bending moment of the panel, resulting in difficulty in the assembly and coordination of subsequent components. This paper takes the riveting process of the panel with L-shaped stringer applied in an aviation cabin as the research object, the deformation reasons of the L-shaped stringer aviation plate structure are analyzed, and the finite element solid model of the riveting process is established. On this basis, a temperature field equivalent model is proposed, which greatly improves the computational efficiency. Further, a set of anti-deformation active suppression methods for riveted assembly deformation of aeronautical panel structures are proposed for the actual assembly scene, then, the effectiveness of the method is verified by simulation examples and experimental studies.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127437533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fuse GPS Course Angle with Quaternion to Improve GPS/IMU-based Velocity Estimation Accuracy 利用四元数融合GPS航向角，提高GPS/ imu航速估计精度
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046582
Liangxin Yuan, Hao Chen, Yuanyuan Wang, X. Lian
{"title":"Fuse GPS Course Angle with Quaternion to Improve GPS/IMU-based Velocity Estimation Accuracy","authors":"Liangxin Yuan, Hao Chen, Yuanyuan Wang, X. Lian","doi":"10.1109/ICARCE55724.2022.10046582","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046582","url":null,"abstract":"The potential unobservability of the yaw angle in the vehicle velocity estimation based on the low-cost GPS/IMU reduces the estimation accuracy. In contrast, the fusion with the GPS course angle (GCA) can significantly rectify the observability of the yaw angle, thus enhancing the accuracy and robustness of the estimations. Because the GCA contains partial attitude information, it is difficult to directly fuse the GCA with the quaternion, which is a deterministic attitude representation. To solve this problem, the vehicle velocity estimation error state equation based on GPS/IMU is firstly built in the vehicle coordinate system. Furthermore, during the measurement update, the prior estimation of roll and pitch angles and the measured GCA are combined to form a pseudo-attitude, which can be used to realize the fusion of the GCA and the quaternion in the error state-space. The vehicle test results indicate that the fusion of GCA substantially improves the velocity estimation accuracy.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Effective GNSS Fault Detection and Exclusion Algorithm for Tightly Coupled GNSS/INS/Vision Integration via Factor Graph Optimization 基于因子图优化的GNSS/INS/Vision紧密耦合故障检测与排除算法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046595
Haitao Jiang, Tuan Li, Chuang Shi
{"title":"An Effective GNSS Fault Detection and Exclusion Algorithm for Tightly Coupled GNSS/INS/Vision Integration via Factor Graph Optimization","authors":"Haitao Jiang, Tuan Li, Chuang Shi","doi":"10.1109/ICARCE55724.2022.10046595","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046595","url":null,"abstract":"Pseudorange measurements from GNSS (Global Navigation Satellite System) receivers are seriously affected by multipath in urban environments, which greatly degrades the positioning accuracy and reliability of GNSS/Inertial Navigation System (INS)/Vision integrated system. Fault Detection and Exclusion (FDE) module is essential to improve the robustness and positioning performance of the system. Recently, GNSS/INS/Vision integration via factor graph optimization (FGO) has attracted extensive attention due to its high accuracy and robustness. As measurements from multiple epochs can be used under FGO framework, it is expected that the detection capability of faulty pseudorange measurements can be improved significantly. Meanwhile, the inclusion of visual measurements could contribute to the capability of FDE of faulty GNSS measurements. In this contribution, we present a parallel GNSS FDE method via FGO, and it calculate the test statistics of each satellite based on the residuals of GNSS measurements in a sliding window. The public GVINS-dataset \"urban\" were used to evaluate the performance of the parallel GNSS FDE scheme in urban canyons. Experimental results show that compared with the GNSS/INS integration, the 2D positioning accuracy in terms of Root Mean Square Error of the parallel GNSS FDE scheme used for GNSS/INS/Vision integration is improved by 33.5% in urban complex environment. Additionally, compared with the sliding window-based FDE method, for GNSS/INS integration and GNSS/INS/Vision integration, the 2D positioning accuracy is increased by 12.1% and 11.7% respectively.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123112297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Research Status and Development Trend of Industrial Robot Based on Knowledge Map 基于知识地图的工业机器人研究现状及发展趋势分析
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046576
Lanping Li, Yu Zhao, Yuzhe Xu
{"title":"Analysis of Research Status and Development Trend of Industrial Robot Based on Knowledge Map","authors":"Lanping Li, Yu Zhao, Yuzhe Xu","doi":"10.1109/ICARCE55724.2022.10046576","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046576","url":null,"abstract":"In recent years, the literature in the field of industrial robot research has increased significantly, but these literatures have not been systematically and quantitatively summarized. Based on the scientific knowledge map, this paper uses China National Knowledge Infrastructure (CNKI) database and Web of Science (WOS) core database 1990-2022 industrial robot related literature as the data base, and uses CiteSpace literature visualization software to analyze the countries, institutions, keywords, etc. of the extracted literature, so as to obtain the corresponding visual knowledge map. Through the interpretation of the visual knowledge map, researchers in the field of industrial robot research can have a more overall and macro grasp of the research history, research status, development trend, etc. in this field.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123161968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aging Condition Evaluation of Oil Paper Insulation Based on Adaboost Algorithm 基于Adaboost算法的油纸绝缘老化状态评价
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046577
Yongqin Ke, Min Li, He Zhuang
{"title":"Aging Condition Evaluation of Oil Paper Insulation Based on Adaboost Algorithm","authors":"Yongqin Ke, Min Li, He Zhuang","doi":"10.1109/ICARCE55724.2022.10046577","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046577","url":null,"abstract":"Aging is a critical element influencing the insulation Characteristics of transformers, and is a key link to maintain the balanced work of the power system. To more accurately and comprehensively assess the aging extent of the transformer, this paper deeply analyzed the change mechanism of FDS spectral lines with different aging degrees, and extracted three frequency domain characteristics significantly related to the aging degree of the transformer from the spectral lines for subsequent aging degree evaluation. Then based on adaboost algorithm, the aging degree of transformer was evaluated. The conclusions show that the root mean square error of the proposed model is significantly reduced compared with other models, which fully verifies the accuracy of the model built in this paper.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124438976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Image Classification Based on Convolutional Neural Network 基于卷积神经网络的图像分类研究
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046634
Tianjiao Liu, Jiankui Chen, Xuqing Li
{"title":"Research on Image Classification Based on Convolutional Neural Network","authors":"Tianjiao Liu, Jiankui Chen, Xuqing Li","doi":"10.1109/ICARCE55724.2022.10046634","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046634","url":null,"abstract":"In the field of image research, aiming at the problems of complexity, large amount of calculation and low accuracy in the traditional image classification process, a variety of machine learning algorithms can be used. By extracting image features, the computer can effectively manage and classify different types of images. In recent years, convolutional neural networks have gradually become the mainstream of image classification applications, and performed very well in the field of image classification. Based on the TensorFlow deep learning framework, a 9-layer convolutional neural network was designed in this study, we applied the Modified National Institute of Standards and Technology (MNIST) image dataset to train the network model and optimize model parameters, and compared the classification effect with the Support Vector Machine (SVM) model. The results show that the classification accuracy of convolutional neural network is 4% higher than that of SVM model.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131388981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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