Yazhe Tang, Youfu Li, Tianxiang Bai, Xiaolong Zhou, Zhongwei Li
{"title":"Human tracking in thermal catadioptric omnidirectional vision","authors":"Yazhe Tang, Youfu Li, Tianxiang Bai, Xiaolong Zhou, Zhongwei Li","doi":"10.1109/ICINFA.2011.5948970","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5948970","url":null,"abstract":"We propose to explore a novel tracking system for human tracking in thermal catadioptric omnidirectional (TCO) vision, which is able to realize the surveillance in all-weather and wide field of view conditions. In contrast, previous human tracking system mainly focuses on tracking in conventional imaging system. In this paper, the proposed tracking method adopts the classification posterior probability of Support Vector Machine (SVM) to relate the observation likelihood of particle filter for efficient tracking. However, previous works only employ the final output label of SVM for classification. Due to no existing TCO vision dataset available in public, we establish a dataset including TCO videos and extracted human samples to train the classifier and test the proposed tracking method. Moreover, we adjust tracking window distribution of particle filter to fit the characteristic of catadioptric omnidirectional vision which is the size of target in omni-image depends on the distance between target image and the center of catadioptric omnidirectional image. Finally, the experimental results show that our proposed tracking method has a stable and good performance in TCO vision tracking system.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703882","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}
{"title":"Modeling of a gyro-stabilized helicopter camera system using artificial neural networks","authors":"N. Layshot, Xiao-Hua Yu","doi":"10.1109/ICINFA.2011.5949035","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949035","url":null,"abstract":"On-board gimbal systems for camera stabilization in helicopters are typically based on linear models. Such models, however, are inaccurate due to system nonlinearities and complexities. As an alternative approach, artificial neural networks can provide a more accurate model of the gimbal system based on their non-linear mapping and generalization capabilities. This paper investigates the applications of artificial neural networks to model the inertial characteristics (on the azimuth axis) of the inner gimbal in a gyro-stabilized multi-gimbal system. The neural network is trained with time-domain data obtained from gyro rate sensors of an actual camera system. The network performance is evaluated and compared with measurement data and a traditional model. Computer simulation results show the neural network model fits well with the measurement data and significantly outperforms the traditional model.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121028141","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}
{"title":"Detection equipment for Bottom Dead Center of punching machine","authors":"Derong Zhang, Min Zheng","doi":"10.1109/ICINFA.2011.5949062","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949062","url":null,"abstract":"Bottom Dead Center (BDC) dynamic accuracy is the key performance indicators of punching machine; it is an important indicator assessing the level of product technology and manufacturing. In this paper, using LabVIEW virtual instrument technology, combining with eddy current sensors, high precision A/D sampling circuit, after analog filtering, real-time capturing and digital filtering, the detection equipment collected BCD curve. And using detection algorithm without the aid of other auxiliary pulse signal, it implements the BDC's identification. And then output test report using Excel software. The resolution of measurement reaches 1 micron.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125143615","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}
{"title":"A prediction-based joint bandwidth allocation scheme for heterogeneous wireless networks","authors":"Chenn-Jung Huang, Ying-Chen Chen, Sheng-Chieh Tseng, Yu-Wu Wang, Chin-Fa Lin, Heng-Ming Chen, Chih-Tai Guan","doi":"10.1109/ICINFA.2011.5949067","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949067","url":null,"abstract":"With advanced network technologies in recent years, people may connect with different types of networks anytime, anywhere. Since wireless network resource distribution is an important issue, we propose a user mobility prediction algorithm, which considers the coverage of different types of base stations and varied mobility of pedestrians, vehicles, and mass transportation. In addition, a novel bandwidth utilization optimization technique is employed in this work to allocate bandwidth more efficiently. Hybrid genetic algorithm, which combines Genetic Algorithm and the local search to improve the frequency of finding Pareto set, is adopted to realize the optimization problem. The performance of our algorithm is compared to two other state-of-the art approaches in the literature. The simulation results show that our algorithms can achieve desirable performance in terms of network utilization, throughput, and QoS quality in the heterogeneous wireless networks.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"53 50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123806771","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}
{"title":"Performance analysis of two-way cartridge calve based on AMESim and orthogonal test","authors":"L. Tian, J. Guo, Runsheng Yu","doi":"10.1109/ICINFA.2011.5949030","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949030","url":null,"abstract":"According to the two-way cartridge valve's small flow capacity in the actual application, our work is carried out to analysis the structure of the two-way cartridge valve by simulating the characteristic on AMESim software. Our team compares characteristics of the valve port with different spring stiffness, optimizes the structures of the valve by orthogonal test method. Simulation of hydraulic elements can replace some process of the physical test, and can help the designer more convenient to select and optimize design programs.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125286586","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}
{"title":"A novel method of multipath mitigation for C/A code tracking loop based on wavelet transform","authors":"Bing Xue, M. Gai, Feng Shen, Na Liu","doi":"10.1109/ICINFA.2011.5949085","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949085","url":null,"abstract":"Multipath is one of main errors in GPS and other spread spectrum systems, it seriously affects the performance of the navigation receiver. In this paper the correlation model under multipath signal is analyzed and we analyze the characteristics of the autocorrelation function starting with it, then a method of detecting jumping-off point of autocorrelation function based on wavelet analysis is proposed, further more, the discriminator result is got to adjust the C/A phase in DLL. Theory analysis and simulation results show that the method is not restricted by the numbers of multipath and sky-wave interference, and better multipath mitigating performance can be acquired than narrow correlation.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125366557","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}
A. Filipescu, V. Mînzu, B. Dumitrascu, A. Filipescu, E. Minca
{"title":"Trajectory-tracking and discrete-time sliding-mode control of wheeled mobile robots","authors":"A. Filipescu, V. Mînzu, B. Dumitrascu, A. Filipescu, E. Minca","doi":"10.1109/ICINFA.2011.5948958","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5948958","url":null,"abstract":"In this paper a discrete-time sliding mode control for the trajectory tracking problem of wheeled mobile robots is presented. The wheeled mobile robot (WMR) taken into account was PowerBot. PowerBot is a mobile platform with two differential driving wheels (2DW) and two balancing caster wheels. It is an automated guided vehicle specially designed and equipped for autonomous, intelligent delivery and handling of large payloads. PowerBot is a member of MobileRobots' Pioneer family of mobile robots, which are research and development platforms that share a common architecture, foundation software and employ intelligence-based client-server robotics controls. Due to its size and high load carrying capacity PowerBot is an ideal robot for both, indoor and outdoor transportation. The algorithm has been designed in discrete-time domain in order to avoid problems caused by the discretization of continuous-time controllers. The simulation results and real time results prove the effectiveness of the proposed controller.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122902461","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}
{"title":"Average travel speed estimation using multi-type floating car data","authors":"Shuliang Pan, Bo Jiang, N. Zou, L. Jia","doi":"10.1109/ICINFA.2011.5948986","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5948986","url":null,"abstract":"Average travel speed is one of the most important indexes for traffic status identification. This paper presents a model to estimate average travel speed based on the data from multi-types floating cars (i.e., taxis, buses, and logistic vehicles). The concept of dynamic road section integration has been proposed to contend with critical issues such as small sample size and large sampling interval. To evaluate the effectiveness of the proposed approach, this paper has also tested the model performance with simulated data from the microscopic simulator VISSIM. Intensive numerical experiments revealed that the average errors of the estimated average speed are less than 7%, which indicates the proposed approach could improve the estimation accuracy significantly.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128419465","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}
Kun Xu, Guoqing Xu, Weimin Li, L. Jian, Zhibin Song
{"title":"Anti-skid for Electric Vehicles based on sliding mode control with novel structure","authors":"Kun Xu, Guoqing Xu, Weimin Li, L. Jian, Zhibin Song","doi":"10.1109/ICINFA.2011.5949074","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949074","url":null,"abstract":"It is prone to skid or slip for wheel vehicles when driving on the low adherent surfaces. Due to the high nonlinearity of time-varying parameters and uncertainties, the anti-skid control is usually very difficult. A robust anti-skid control based on the sliding mode control and friction coefficient estimation is proposed. Furthermore, a novel anti-skid control structure utilizing the driver's demanded slip ratio is adopted to coordinate the automatic control and the man's operation on foot pedal. Co-simulations with SIMULINK and CarSim show the effectiveness.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128456553","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}
{"title":"Fuzzy logic-based multi-robot cooperation for object-pushing","authors":"Yifan Cai, Simon X. Yang","doi":"10.1109/ICINFA.2011.5949001","DOIUrl":"https://doi.org/10.1109/ICINFA.2011.5949001","url":null,"abstract":"Multi-robot cooperation is an important issue in robotics. Collaboration can improve the productivity and complete some complex tasks effectively. In this paper, a two-stage fuzzy logic-based control scheme is proposed for a team of robots to cooperatively push an object to a target location. A fuzzy logic-based multi-robot cooperation is proposed to effectively generate collision-free paths for the robots, where the number of robots and the environment are uncertain. The simulation results demonstrate the feasibility of the proposed approach. In comparison to other methods, the proposed fuzzy logic-based control is easier to implement and is more effective at resolving problems with uncertainties.","PeriodicalId":299418,"journal":{"name":"2011 IEEE International Conference on Information and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128548133","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}