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...

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Detalles Bibliográficos
Autores principales: Chaubey, Shivam, Puig, Vicenç
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099810/
https://www.ncbi.nlm.nih.gov/pubmed/35591089
http://dx.doi.org/10.3390/s22093399

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