A hypothesis of state covariance decorrelation effects to partial observability SLAM
This paper analyze the performance of partial observability in simultaneous localization and mapping(SLAM) problem. The study focuses mainly on the effect of having a decorrelation technique known as Covariance Inflation to the estimation. The matrix inversion will be the main element to be investig...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22341/ http://umpir.ump.edu.my/id/eprint/22341/1/9.%20A%20hypothesis%20of%20state%20covariance%20decorrelation%20effects%20to%20partial%20observability%20SLAM.pdf http://umpir.ump.edu.my/id/eprint/22341/2/9.1%20A%20hypothesis%20of%20state%20covariance%20decorrelation%20effects%20to%20partial%20observability%20SLAM.pdf |