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- matlab
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- 8kb
- Update:
- 2012-11-26
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- liancb
Description: In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method
- [PDA] - data association algorithm-PDA algorithm
- [demo] - the Matlab environment, using the most n
- [Jinlin] - Matlab neighbor law procedures, the use
- [Kalman--C++] - VC++ Realized kalman code has been teste
- [learning_demo] - Data association algorithm for target tr
- [Slam] - Several very useful in 1D, 2D, 3D Kalman
- [shibie] - Matlab achieved using several methods of
- [SSS06.Prac2.MonocularSLAM.tar] - Mobile Robot Localization and Mapping at
- [Ukf] - This procedure is used matlab prepared U
- [jpdaf] - JPDA data association algorithm using tw
File list (Check if you may need any files):
all8.mat
errorREG25.mat
f25.mat
mnoise.mat
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