Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System最新文献_第2页

A super-resolution reconstruction method of underwater target detection image by side scan sonar 一种侧扫声纳水下目标探测图像的超分辨率重建方法

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483869

Jin Hua, Mengzhao Liu, Shujia Wang

{"title":"A super-resolution reconstruction method of underwater target detection image by side scan sonar","authors":"Jin Hua, Mengzhao Liu, Shujia Wang","doi":"10.1145/3483845.3483869","DOIUrl":"https://doi.org/10.1145/3483845.3483869","url":null,"abstract":"However, the scope and distance of optical imaging were limited, especially in the case of muddy water, the propagation of optical information was seriously interfered, and imaging became more difficult. Due to the complex and changeable underwater environment and the nature of acoustic imaging, sonar image has noise, low resolution and fuzzy details, which has a great impact on the recognition and interpretation of sonar image. On the basis of the original SRGAN network, this paper improves and optimates its network structure and loss function. Replace the ordinary convolution layer with the void convolution layer in the residual block structure of the generated network, delete the batch normalization layer (BN layer), reduce the resource consumption and expand the receiver field, so as to improve the training efficiency of the network; A gradient penalty term is added to the improved discriminant network loss function to accelerate the convergence of the network and improve the stability of training. Four classical image super resolution algorithms are compared with the improved SRGAN algorithm under the verification of sonar dataset. The experimental results show that the improved SRGAN network is superior to the traditional super resolution method in the reconstruction of sonar image in terms of rich texture and details, and improves the quality of sonar image super resolution reconstruction.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123360193","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: 2

Security Analysis of Peer-to-Peer Network Topology Based on Gephi Platform: P2P Network Security Analysis via Gephi 基于Gephi平台的点对点网络拓扑安全性分析——基于Gephi的P2P网络安全性分析

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483876

Xue Zheng, Jun-zhong He, Xiaojing Gao, Kebin Chen

引用次数: 1

Detection of Fatigued Face 疲劳面部检测

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483885

Ming-da Song, Song Xin, Ze-ming Wang, Gang Zhao

{"title":"Detection of Fatigued Face","authors":"Ming-da Song, Song Xin, Ze-ming Wang, Gang Zhao","doi":"10.1145/3483845.3483885","DOIUrl":"https://doi.org/10.1145/3483845.3483885","url":null,"abstract":"For some large and complex operating platforms in machinery factories, in order to detect fatigued workers in time, machine vision is adopted for fatigue detection. Normal camera cannot cover the entire working range. So come up with an idea to use an industrial computer to control the pan-tilt for face tracking and fatigue detection. First, face detection is performed on the image information captured by the pan-tilt. Then, the pan-tilt is controlled to rotate according to the position of the face to achieve the purpose of tracking the face of the staff in real time. On this basis, the feature points recognized by face detection algorithm and the PERCLOS algorithm are used to calculate, The thresholds of EAR value and MAR value were set as 0.18 and 0.4 respectively according to the experimental results to identify the fatigue features of the face for fatigue detection. Finally, whether the person is in a state of fatigue is judged according to whether the percentage of the time that the person is in a fatigue characteristic exceeds 75% .The results show that the corresponding hardware equipment and the algorithm used can make the recognition accuracy basically reach 90% during working time, and the detection time is less than 90ms, which satisfy the requirements of real-time face tracking and fatigue detection accuracy and execution efficiency under working state.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114881580","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

Workspace and Singularity Analysis of a 2P3RR Planar Parallel Mechanism 2P3RR平面并联机构工作空间及奇异性分析

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483851

Xuzhao Han, Peng Jin, Suolao Li, Wen Liu, Yuanxiong Zhang, Yi Guo

引用次数: 0

Dynamic task allocation algorithm based on D-NSGA3 基于D-NSGA3的动态任务分配算法

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483875

Jing Zhou, Xiaozhe Zhao, Zhen Xu, Si-jun Peng, Zhong Lin

引用次数: 0

Vehicle Forward Collision Warning Algorithm Based on Multi-Information Fusion and Improved Warning Strategy 基于多信息融合和改进预警策略的车辆前方碰撞预警算法

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483892

Yining Pan, Yanliang Jin, Rukun Lyu

{"title":"Vehicle Forward Collision Warning Algorithm Based on Multi-Information Fusion and Improved Warning Strategy","authors":"Yining Pan, Yanliang Jin, Rukun Lyu","doi":"10.1145/3483845.3483892","DOIUrl":"https://doi.org/10.1145/3483845.3483892","url":null,"abstract":"Aiming at the problem that traditional forward collision warning (FCW) system cannot deal with some emergencies (such as the sudden appearance of target) accurately and timely in the real world, we present MIFWS-FCW- a novel system that applies multi-information fusion and improved warning strategy to improve the accuracy of emergencies warning. In this work, we construct two dynamic safety warning areas changing with the speed of the vehicle according to the detected lane lines and the safety distance model. We predict the trajectory of target based on the information output by YOLOv3 (You Only Look Once v3) at the same time. Then, three-level warnings are designed based on the improved warning strategy, and we combine the distance perception to decide whether the system sends out strong reminders. We transplant our system to Atlas 200 Developer Kit and conduct quantitative evaluation on 20 videos with different environment. The experimental results show that the MIFWS-FCW system can achieve the competitive warning accuracy of 95.5% with the warning time of 1.16s, to some extent, it can reduce the incidence of accidents and achieve the purpose of auxiliary driving.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130573315","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

Design and Verification of Attitude Control System for A Small Satellite 某小卫星姿态控制系统设计与验证

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483861

Shuyan Ni, Shimiao Chen, Yurong Liao, Naiping Cheng

引用次数: 0

Research on Drawing Robot Based on Image Edge Detection 基于图像边缘检测的绘图机器人研究

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483847

Feng Liu, L. Cao, Zibo Sun, Zheng Li

引用次数: 0

The influence of visual angle on Mongolian character recognition 视角对蒙古语文字识别的影响

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483877

Ying Zhao, Yang He, Jiaqi Jing, Tie Wang, Guangmiao Jiang

{"title":"The influence of visual angle on Mongolian character recognition","authors":"Ying Zhao, Yang He, Jiaqi Jing, Tie Wang, Guangmiao Jiang","doi":"10.1145/3483845.3483877","DOIUrl":"https://doi.org/10.1145/3483845.3483877","url":null,"abstract":"In recent years, there have been many achievements in Mongolian studies. Scholars have carried out eye movement characteristics analysis and research from the aspects of reading gaze position effect, combined with the effect of high and low frequency words on gaze position and other aspects of Mongolian cognitive research. However, there is no systematic study on the influence of visual angle on Mongolian character recognition. This research addresses the above-mentioned problems, taking visual angle as the independent variable and reaction time as the dependent variable, selecting the commonly used Mongolian vowel consonants and divide them into seven visual angles of 2°, 4°, 7°, 10°, 13°, 16°, and 19°. Discussing the impact of the reaction time on the visual angle and the best recognition visual angle. The research showed that at 19°, the reaction time was the shortest and the recognition effect was better. Therefore, the best visual angle of Mongolian language could be identified in order to improve the efficiency of recognition, enrich the research in the field of Mongolian language study, and promote the development of Mongolian language research.","PeriodicalId":134636,"journal":{"name":"Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132367035","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

Enhancement Algorithm for Sandstorm Images 沙尘暴图像的增强算法

Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent System Pub Date : 2021-08-20 DOI: 10.1145/3483845.3483893

Zhong Hua, B. Nie

引用次数: 0