Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7829074
C. Yuan, K. Ghamry, Zhixiang Liu, Youmin Zhang
Early forest fire alarm systems are critical in making prompt response in the event of unexpected hazards. Cost-effective cameras, improvements in memory, and enhanced computation power have all enabled the design and real-time application of fire detecting algorithms using light and small-size embedded surveillance systems. This is vital in situations where the performance of traditional forest fire monitoring and detection techniques are unsatisfactory. This paper presents a forest fire monitoring and detection method with visual sensors onboard unmanned aerial vehicle (UAV). Both color and motion features of fire are adopted for the design of the studied forest fire detection strategies. This is for the purpose of improving fire detection performance, while reducing false alarm rates. Indoor experiments are conducted to demonstrate the effectiveness of the studied forest fire detection methodologies.
{"title":"Unmanned aerial vehicle based forest fire monitoring and detection using image processing technique","authors":"C. Yuan, K. Ghamry, Zhixiang Liu, Youmin Zhang","doi":"10.1109/CGNCC.2016.7829074","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829074","url":null,"abstract":"Early forest fire alarm systems are critical in making prompt response in the event of unexpected hazards. Cost-effective cameras, improvements in memory, and enhanced computation power have all enabled the design and real-time application of fire detecting algorithms using light and small-size embedded surveillance systems. This is vital in situations where the performance of traditional forest fire monitoring and detection techniques are unsatisfactory. This paper presents a forest fire monitoring and detection method with visual sensors onboard unmanned aerial vehicle (UAV). Both color and motion features of fire are adopted for the design of the studied forest fire detection strategies. This is for the purpose of improving fire detection performance, while reducing false alarm rates. Indoor experiments are conducted to demonstrate the effectiveness of the studied forest fire detection methodologies.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125999130","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7829051
Chunli Jiang, Zhenglin Li
A novel graphic modeling method of obtaining the fingerprint characteristics of wireless communication channel was provided in the paper. Firstly, discrete Fourier transforms was carried on to the sample data of each channel. And then a three-dimensional image was generated by taking the frequency as X coordinates, the channel number as Y coordinates, and the frequency amplitude as Z coordinates. After the image had been applied to mathematical interpolation, amplitude normalization, extended maximum value filtering, numerical binarization and burr elimination, a binary valued image with fingerprint feature is obtained. Application results showed that this type of fingerprint image can effectively distinguish different scenes of wireless communication.
{"title":"Modeling of fingerprint characteristics of wireless communication channel","authors":"Chunli Jiang, Zhenglin Li","doi":"10.1109/CGNCC.2016.7829051","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829051","url":null,"abstract":"A novel graphic modeling method of obtaining the fingerprint characteristics of wireless communication channel was provided in the paper. Firstly, discrete Fourier transforms was carried on to the sample data of each channel. And then a three-dimensional image was generated by taking the frequency as X coordinates, the channel number as Y coordinates, and the frequency amplitude as Z coordinates. After the image had been applied to mathematical interpolation, amplitude normalization, extended maximum value filtering, numerical binarization and burr elimination, a binary valued image with fingerprint feature is obtained. Application results showed that this type of fingerprint image can effectively distinguish different scenes of wireless communication.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123537868","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7828944
Xiaoping Shi, Rui Guo, Zicai Wang
This paper is devoted to the combination of several prior models in Bayesian image restoration and increasingly wide utilization in astronomical images. Bayesian methods introduce image models using prior knowledge and address the ill-posed problem in the registration parameter estimation. Employing a variational Bayesian analysis, we obtain a unique approximating distribution based on the observations that decreases the Kullback Leibler distance for more optimal posterior distribution. The estimated results on astronomical images experimentally provide higher quality and better restoration performance.
{"title":"Astronomical image restoration using Bayesian methods","authors":"Xiaoping Shi, Rui Guo, Zicai Wang","doi":"10.1109/CGNCC.2016.7828944","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7828944","url":null,"abstract":"This paper is devoted to the combination of several prior models in Bayesian image restoration and increasingly wide utilization in astronomical images. Bayesian methods introduce image models using prior knowledge and address the ill-posed problem in the registration parameter estimation. Employing a variational Bayesian analysis, we obtain a unique approximating distribution based on the observations that decreases the Kullback Leibler distance for more optimal posterior distribution. The estimated results on astronomical images experimentally provide higher quality and better restoration performance.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123575854","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7828835
Rong Ma, Wenrui Ma, Xiaolong Chen, Jia Li
In this paper, we present a real-time obstacle avoidance method for fixed-wing unmanned aerial vehicles (UAVs) in complex environment. The Rapidly-exploring Random Tree(RRT) algorithm is used in this method. In order to adapt the RRT algorithm on fixed-wing platforms, we make extensions on it. The algorithm demonstrates very good performance in trajectory planning for fixed-wing vehicles in three-dimensional environment and dynamic environment. We analyze the algorithm theoretically and provide simulation results. We also demonstrate our method on a fixed-wing vehicle flying over a runway with multiple obstacles. The application of this method will greatly improve the survival ability of fixed-wing vehicles in complex environment. It is significant in elevation of autonomous level of UAV.
{"title":"Real-time obstacle avoidance for fixed-wing vehicles in complex environment","authors":"Rong Ma, Wenrui Ma, Xiaolong Chen, Jia Li","doi":"10.1109/CGNCC.2016.7828835","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7828835","url":null,"abstract":"In this paper, we present a real-time obstacle avoidance method for fixed-wing unmanned aerial vehicles (UAVs) in complex environment. The Rapidly-exploring Random Tree(RRT) algorithm is used in this method. In order to adapt the RRT algorithm on fixed-wing platforms, we make extensions on it. The algorithm demonstrates very good performance in trajectory planning for fixed-wing vehicles in three-dimensional environment and dynamic environment. We analyze the algorithm theoretically and provide simulation results. We also demonstrate our method on a fixed-wing vehicle flying over a runway with multiple obstacles. The application of this method will greatly improve the survival ability of fixed-wing vehicles in complex environment. It is significant in elevation of autonomous level of UAV.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125267641","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7828978
Hongwon Yun, Li Xu, Hao Dou, De-Lie Ming
This paper performs research on adaptation analysis based on large amount of multi-source remote sensing data. In view of different demands from different task background, the research is firstly focused on how to analyze the data in computer language. To achieve this, the feature parameters of target areas are extracted from different target area geographic data. In combination of ORACLE database engine, data mining technology is used to carry out the target area adaptation assessment, and extract corresponding adaptation criteria. We test the trained adaptation criteria on multi-source geographic information data of different target areas. Experimental results show that the resulting criterion has certain coincidence rate and robustness.
{"title":"Research on adaptation criteria generation based on large data mining","authors":"Hongwon Yun, Li Xu, Hao Dou, De-Lie Ming","doi":"10.1109/CGNCC.2016.7828978","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7828978","url":null,"abstract":"This paper performs research on adaptation analysis based on large amount of multi-source remote sensing data. In view of different demands from different task background, the research is firstly focused on how to analyze the data in computer language. To achieve this, the feature parameters of target areas are extracted from different target area geographic data. In combination of ORACLE database engine, data mining technology is used to carry out the target area adaptation assessment, and extract corresponding adaptation criteria. We test the trained adaptation criteria on multi-source geographic information data of different target areas. Experimental results show that the resulting criterion has certain coincidence rate and robustness.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125478166","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}
Spacecraft on-orbit serving is vital important for future space missions and is of interest of many countries. Relative motion determination is the major problem for spacecraft on-orbit servicing. Due to the advantages of monocular vision navigation system, it has been widely proposed for spacecraft approaching for the final stage. However, due to the model uncertainty and state mobility of the target spacecraft, a strong tracking filter is proposed to overcome the above issues in estimating relative position and attitude. This article first introduces how to set up, select and match feature markers. Followed by establishing a 6DOF spacecraft dynamics model and an imaging observation model based on quaternion. Then, the recursive process of Suboptimal Fading Extended Kalman Filter is implemented. Finally, numerical simulations are carried out to verify the effectiveness of the proposed algorithm.
{"title":"Robust monocular vision navigation for spacecraft on-orbit service","authors":"Chun Jiang, Yunhua Wu, Lin-Lin Ge, Bing Hua, Feng Yu, Zhiming Chen","doi":"10.1109/CGNCC.2016.7829043","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829043","url":null,"abstract":"Spacecraft on-orbit serving is vital important for future space missions and is of interest of many countries. Relative motion determination is the major problem for spacecraft on-orbit servicing. Due to the advantages of monocular vision navigation system, it has been widely proposed for spacecraft approaching for the final stage. However, due to the model uncertainty and state mobility of the target spacecraft, a strong tracking filter is proposed to overcome the above issues in estimating relative position and attitude. This article first introduces how to set up, select and match feature markers. Followed by establishing a 6DOF spacecraft dynamics model and an imaging observation model based on quaternion. Then, the recursive process of Suboptimal Fading Extended Kalman Filter is implemented. Finally, numerical simulations are carried out to verify the effectiveness of the proposed algorithm.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127038017","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7828958
Tang Zhiyong, Ma Hu, Pei Zhongcai, Z. Jinhui
As one of the key technologies of flight simulator, motion cueing algorithm (MCA) plays a great role in regenerating realistic motion and the similar human perception within physical limitations. Although it is the most popular MCAs, classic washout algorithm has some drawbacks, including distortion of the original signal, false cue motions, poor usage of the workspace and wrong human sensation. In order to overcome these problems and minimize human sensation error between the actual flight and simulator while exploiting the platform more efficiently within the motion constraints, this paper proposed a new method which adopt signal error compensators based on fuzzy logic online tuning. And the fuzzy tuning logic controller based on displacement, workspace limitation and the sensed specific force error. The proposed method also contains a non-linear scaling factor to adjust the amplitude of the input signal and uses partial range scaling of the tilt rate limiter to overcome the discontinuous movement. After simulating and analyzing, it shows the superiority of the proposed MCA as it decreases human sensation error to meet high fidelity and exploit platform workspace more efficiently within physical limitations to deliver realistic motion.
{"title":"Adaptive motion cueing algorithm based on fuzzy tuning for improving human sensation","authors":"Tang Zhiyong, Ma Hu, Pei Zhongcai, Z. Jinhui","doi":"10.1109/CGNCC.2016.7828958","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7828958","url":null,"abstract":"As one of the key technologies of flight simulator, motion cueing algorithm (MCA) plays a great role in regenerating realistic motion and the similar human perception within physical limitations. Although it is the most popular MCAs, classic washout algorithm has some drawbacks, including distortion of the original signal, false cue motions, poor usage of the workspace and wrong human sensation. In order to overcome these problems and minimize human sensation error between the actual flight and simulator while exploiting the platform more efficiently within the motion constraints, this paper proposed a new method which adopt signal error compensators based on fuzzy logic online tuning. And the fuzzy tuning logic controller based on displacement, workspace limitation and the sensed specific force error. The proposed method also contains a non-linear scaling factor to adjust the amplitude of the input signal and uses partial range scaling of the tilt rate limiter to overcome the discontinuous movement. After simulating and analyzing, it shows the superiority of the proposed MCA as it decreases human sensation error to meet high fidelity and exploit platform workspace more efficiently within physical limitations to deliver realistic motion.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"211 0 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115032979","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7828947
Yong Wang, Ning Wang, Xiaoling Liang, M. Er
The quadrotor unmanned aerial vehicle (QUAV) is one of Vertical Take-Off and Landing (VTOL) autonomous aerial vehicles. More and more attention has been paid to the QUAV in recent years for simple mechanical structure and favorable control performance. In this paper, a sliding mode control framework is proposed to achieve the trajectory tracking control of the QUAV, whereby fuzzy uncertainty observer (FUO) is designed to estimate external disturbances and model uncertainties. As a consequence, the proposed fuzzy sliding mode control (FSMC) approach is able to handle system uncertainties and external disturbances simultaneously, and thereby contributing to better robustness. In addition to theoretical stability analysis, the robust performance of the proposed FSMC scheme is evaluated via numerical simulations.
{"title":"Fuzzy sliding mode tracking control of the quadrotor unmanned aerial vehicle with unknown disturbances","authors":"Yong Wang, Ning Wang, Xiaoling Liang, M. Er","doi":"10.1109/CGNCC.2016.7828947","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7828947","url":null,"abstract":"The quadrotor unmanned aerial vehicle (QUAV) is one of Vertical Take-Off and Landing (VTOL) autonomous aerial vehicles. More and more attention has been paid to the QUAV in recent years for simple mechanical structure and favorable control performance. In this paper, a sliding mode control framework is proposed to achieve the trajectory tracking control of the QUAV, whereby fuzzy uncertainty observer (FUO) is designed to estimate external disturbances and model uncertainties. As a consequence, the proposed fuzzy sliding mode control (FSMC) approach is able to handle system uncertainties and external disturbances simultaneously, and thereby contributing to better robustness. In addition to theoretical stability analysis, the robust performance of the proposed FSMC scheme is evaluated via numerical simulations.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115570239","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}
This paper introduced the implementation strategy of three points collinear active defense to realize aircraft active defense. Based on the kinetic characteristic of fighter, defending missile, offensive missile, a induce capture aircraft-defending missile synergy active defense method was put forward, which transform the complex air war confront problem between fighter and defending missile and offensive missile into a simple trajectory problem of fighter. A process performance index during the implementation process of active defense strategy was put forward and the different between process performance index and traditional performance index was analyzed. Because of the QPSO arithmetic is a off-line arithmetic, result in the whole process can't be able to be evaluate. So the method of RHC(receding horizon control) was used to maintain process performance index as the optimization index of every receding optimization window. Which solve the disadvantage of QPSO arithmetic and rise its real-time. Simulation was applied to prove the validity of active defense strategy and synergy method, and the effectiveness and accuracy of this arithmetic.
{"title":"A study of aircraft-defense missile cooperative active defense technology","authors":"Xiaoping Wang, Lutong Wang, Qin-ying Lin, Minghui Xia, Liangliang Chen","doi":"10.1109/CGNCC.2016.7829083","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829083","url":null,"abstract":"This paper introduced the implementation strategy of three points collinear active defense to realize aircraft active defense. Based on the kinetic characteristic of fighter, defending missile, offensive missile, a induce capture aircraft-defending missile synergy active defense method was put forward, which transform the complex air war confront problem between fighter and defending missile and offensive missile into a simple trajectory problem of fighter. A process performance index during the implementation process of active defense strategy was put forward and the different between process performance index and traditional performance index was analyzed. Because of the QPSO arithmetic is a off-line arithmetic, result in the whole process can't be able to be evaluate. So the method of RHC(receding horizon control) was used to maintain process performance index as the optimization index of every receding optimization window. Which solve the disadvantage of QPSO arithmetic and rise its real-time. Simulation was applied to prove the validity of active defense strategy and synergy method, and the effectiveness and accuracy of this arithmetic.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122639538","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}
Pub Date : 2016-08-01DOI: 10.1109/CGNCC.2016.7829073
Zhixiang Liu, C. Yuan, Youmin Zhang
In this paper, a linear parameter varying (LPV) control technique is proposed for the control of unmanned quadrotor helicopter (UQH), compensating the adverse effects of system variations, such as mass changes due to payload grasping, carrying, and dropping as well as battery voltage variations caused by battery drainage. The magnitudes of these variations, in this study, are assumed to be obtainable from the estimation scheme or priori knowable. Based on the information of these system variations, a linear parameter dependent state-feedback controller in a convex polytopic LPV representation is devised so that the corresponding adverse effects can be counteracted. The system parameters that vary with time are then specified as the design parameters for LPV controller, while the ultimate control law can be obtained online employing the well-established linear matrix inequality (LMI) conditions. Finally, both simulation and experimental validations are conducted to demonstrate the performance of the proposed control method on an UQH undergoing the changes of payload mass and battery voltage.
{"title":"Linear parameter varying control of unmanned quadrotor helicopter with mass variation and battery drainage","authors":"Zhixiang Liu, C. Yuan, Youmin Zhang","doi":"10.1109/CGNCC.2016.7829073","DOIUrl":"https://doi.org/10.1109/CGNCC.2016.7829073","url":null,"abstract":"In this paper, a linear parameter varying (LPV) control technique is proposed for the control of unmanned quadrotor helicopter (UQH), compensating the adverse effects of system variations, such as mass changes due to payload grasping, carrying, and dropping as well as battery voltage variations caused by battery drainage. The magnitudes of these variations, in this study, are assumed to be obtainable from the estimation scheme or priori knowable. Based on the information of these system variations, a linear parameter dependent state-feedback controller in a convex polytopic LPV representation is devised so that the corresponding adverse effects can be counteracted. The system parameters that vary with time are then specified as the design parameters for LPV controller, while the ultimate control law can be obtained online employing the well-established linear matrix inequality (LMI) conditions. Finally, both simulation and experimental validations are conducted to demonstrate the performance of the proposed control method on an UQH undergoing the changes of payload mass and battery voltage.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122979680","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}
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