Comprehensive TCEP Assessment of Methods for Calculating MUAV Navigation Position Accuracy Based on Visual Measurement

2013 ◽  
Vol 765-767 ◽  
pp. 2224-2228 ◽  
Author(s):  
Yan Yong Wang ◽  
Gong Liu Yang ◽  
Xing Rong Jia ◽  
Yong Miao Wang
Keyword(s):  
Navigation System ◽  
Evaluation Method ◽  
Accuracy Assessment ◽  
Visual Navigation ◽  
Accuracy Evaluation ◽  
Single Trial ◽  
Positioning Accuracy ◽  
Visual Measurement ◽  
Position Accuracy ◽  
Relationship Of

in order to satisfy the positioning accuracy identification requirement of MUAV navigation system, the characteristics of visual navigation were analyzed, the existing navigation system accuracy assessment methods were summarized and the conversion relationship of each index were deduced. According to the Ethridge statistical algorithm for calculating circular error probability (CEP), navigation and positioning accuracy assessment scheme were designed. Finally, the time-CEP(TCEP) accuracy evaluation method based on visual measurement was put forward, which were verified by simulation using four group actual INS data .The results show that: the scheme is feasible, convenient and practical; the method can relatively comprehensive evaluate the positioning accuracy of navigation system and can make full use of the single trial data.

Navigation Information Fusion in a Redundant Marine Rotational Inertial Navigation System Configuration

2018 ◽  
Vol 71 (6) ◽  
pp. 1531-1552 ◽  
Author(s):  
Lin Wang ◽  
Wenqi Wu ◽  
Guo Wei ◽  
Xianfei Pan ◽  
Junxiang Lian
Keyword(s):  
Information Fusion ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Evaluation Method ◽  
High Reliability ◽  
Inertial Navigation ◽  
Position Accuracy ◽  
Lack Of Information ◽  
Trade Offs ◽  
Navigation Information

A Rotational Inertial Navigation System (RINS) redundant configuration is commonly adopted in high-accuracy marine navigation. Single-axis RINS and dual-axis RINS redundant configurations are good choices with single-axis RINS being a hot backup system, and are trade-offs between position accuracy, reliability as well as cost. However, lack of information fusion between systems is common. Therefore, a novel navigation information fusion method based on an augmented error state Kalman filter is proposed for a RINS redundant configuration. The azimuth gyro drift of a single-axis RINS whose influence cannot be averaged out by single-axis rotation can be estimated, whereby the deterministic position error can be predicted and compensated. Hence, the position accuracy in the event of dual-axis RINS failure can be guaranteed by improving the performance of a single-axis RINS. In addition, an online performance evaluation method is proposed to select the better performance dual-axis RINS as master RINS in a triple RINS configuration, including two sets of dual-axis RINS and a single-axis RINS, which is used in some particularly high reliability applications. Semi-physical simulations and experiments show the proposed method works well.

Time-SEP Comprehensive Assessment of Methods for Calculating Positioning Accuracy of Navigation Systems

2013 ◽  
Vol 765-767 ◽  
pp. 2026-2030 ◽  
Author(s):  
Rui Jiang ◽  
Yan Yong Wang ◽  
Gong Liu Yang ◽  
Yong Miao Wang
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Statistical Testing ◽  
Accuracy Evaluation ◽  
Maximum Relative Error ◽  
Navigation Systems ◽  
Initial Value ◽  
Positioning Accuracy ◽  
True Value ◽  
Navigation Equipment

Based on 2 statistical testing schemes, the accuracy evaluation method of Time-SEP was proposed; 3 sphere error probability (SEP) methods were derivate and concluded. Simulation and experimental verification show that: Time-SEP method for navigation equipment positioning accuracy can give a relatively comprehensive evaluation; the scheme is feasible, compatible with the traditional calculation method of parameters and can fully utilize the single test data, test validation simple. 3 algorithms can all be used to calculate SEP, the maximum relative error is less than 5%; the χ2 distribution approximation somewhat conservative is recommended; and MLE values can be used as the initial value of integral operation, to reduce the number of integral operation, access to the true value rapidly.

A Comprehensive Evaluation Method on Dynamic Simulation Accuracy of Power System

2014 ◽  
Vol 541-542 ◽  
pp. 869-874
Author(s):  
Hui Ping Zheng ◽  
Min Xue ◽  
Yan Zhao ◽  
Xin Yuan Liu ◽  
Yu Han
Keyword(s):  
Power System ◽  
New England ◽  
Dynamic Simulation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Accuracy Assessment ◽  
Short Circuit ◽  
Power Grids ◽  
Accuracy Evaluation ◽  
Simulation Accuracy

In order to overcome the shortcomings of the present accuracy assessment methods of power system dynamic simulation, this paper focuses the permanent single phase short-circuit fault which occurs in a large probability in power grids,and selects the typical electrical quantities which is very concerned in engineering after the fault happened. A time-scale based error criteria on simulation validation is proposed, and a comprehensive error criteria according to the average errors between simulation data and actual data is proposed to evaluate objectively the simulation accuracy of the typical electrical quantities. Considering the variation characteristics of the electrical quantities, the simulation accuracy evaluation of a single electrical element is expended to the simulation accuracy evaluation of the entire network, so not only the comprehensive evaluation about the model and its parameters but also the information for model modification and parameter correction can be obtained. The effectiveness of the proposed method is verified by the numerical results on the New England 10 Unit 39 Bus powers system.

scholarly journals Accuracy Evaluation of Surface-Based Registration Methods in a Computer Navigation System for Hip Surgery Performed Through a Posterolateral Approach

2001 ◽  
Vol 6 (4) ◽  
pp. 195-203 ◽  
Author(s):  
Nobuhiko Sugano ◽  
Toshihiko Sasama ◽  
Yoshinobu Sato ◽  
Yoshikazu Nakajima ◽  
Takashi Nishii ◽  
...  
Keyword(s):  
Navigation System ◽  
Computer Navigation ◽  
Hip Surgery ◽  
Posterolateral Approach ◽  
Accuracy Evaluation ◽  
Computer Navigation System

scholarly journals Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 241
Author(s):  
Asish Saha ◽  
Subodh Chandra Pal ◽  
Alireza Arabameri ◽  
Thomas Blaschke ◽  
Somayeh Panahi ◽  
...  
Keyword(s):  
Support Vector Regression ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Accuracy Assessment ◽  
Research Work ◽  
Dominant Factor ◽  
Support Vector ◽  
Accuracy Evaluation ◽  
Ensemble Approach ◽  
Flood Susceptibility

Recurrent floods are one of the major global threats among people, particularly in developing countries like India, as this nation has a tropical monsoon type of climate. Therefore, flood susceptibility (FS) mapping is indeed necessary to overcome this type of natural hazard phenomena. With this in mind, we evaluated the prediction performance of FS mapping in the Koiya River basin, Eastern India. The present research work was done through preparation of a sophisticated flood inventory map; eight flood conditioning variables were selected based on the topography and hydro-climatological condition, and by applying the novel ensemble approach of hyperpipes (HP) and support vector regression (SVR) machine learning (ML) algorithms. The ensemble approach of HP-SVR was also compared with the stand-alone ML algorithms of HP and SVR. In relative importance of variables, distance to river was the most dominant factor for flood occurrences followed by rainfall, land use land cover (LULC), and normalized difference vegetation index (NDVI). The validation and accuracy assessment of FS maps was done through five popular statistical methods. The result of accuracy evaluation showed that the ensemble approach is the most optimal model (AUC = 0.915, sensitivity = 0.932, specificity = 0.902, accuracy = 0.928 and Kappa = 0.835) in FS assessment, followed by HP (AUC = 0.885) and SVR (AUC = 0.871).

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