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Autonomous Vehicle State Estimation and Mapping Using Takagi–Sugeno Modeling Approach
This paper proposes an optimal approach for state estimation based on the Takagi–Sugeno (TS) Kalman filter using measurement sensors and rough pose obtained from LIDAR scan end-points matching. To obtain stable and optimal TS Kalman gain for estimator design, a linear matrix inequality (LMI) is opti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099810/ https://www.ncbi.nlm.nih.gov/pubmed/35591089 http://dx.doi.org/10.3390/s22093399 |