Low-cost inertial sensor fusion with the Ensemble Kalman filter for ground vehicles position estimation (2023)
- Authors:
- USP affiliated authors: FLEURY, AGENOR DE TOLEDO - EP ; TRIGO, FLAVIO CELSO - EP
- Unidade: EP
- DOI: 10.13140/RG.2.2.31776.66569
- Subjects: VEÍCULOS; SENSOR; FILTROS DE KALMAN
- Language: Inglês
- Imprenta:
- Publisher place: Pirenópolis
- Date published: 2023
- Source:
- Conference titles: International Symposium on Dynamic Problems of Mechanics - DINAME
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CARLINI, Enrico Bertolini e FLEURY, Agenor de Toledo e TRIGO, Flávio Celso. Low-cost inertial sensor fusion with the Ensemble Kalman filter for ground vehicles position estimation. 2023, Anais.. Pirenópolis: Escola Politécnica, Universidade de São Paulo, 2023. Disponível em: http://dx.doi.org/10.13140/RG.2.2.31776.66569. Acesso em: 25 fev. 2026. -
APA
Carlini, E. B., Fleury, A. de T., & Trigo, F. C. (2023). Low-cost inertial sensor fusion with the Ensemble Kalman filter for ground vehicles position estimation. In Proceedings of the International Symposium on Dynamic Problems of Mechanics. Pirenópolis: Escola Politécnica, Universidade de São Paulo. doi:10.13140/RG.2.2.31776.66569 -
NLM
Carlini EB, Fleury A de T, Trigo FC. Low-cost inertial sensor fusion with the Ensemble Kalman filter for ground vehicles position estimation [Internet]. Proceedings of the International Symposium on Dynamic Problems of Mechanics. 2023 ;[citado 2026 fev. 25 ] Available from: http://dx.doi.org/10.13140/RG.2.2.31776.66569 -
Vancouver
Carlini EB, Fleury A de T, Trigo FC. Low-cost inertial sensor fusion with the Ensemble Kalman filter for ground vehicles position estimation [Internet]. Proceedings of the International Symposium on Dynamic Problems of Mechanics. 2023 ;[citado 2026 fev. 25 ] Available from: http://dx.doi.org/10.13140/RG.2.2.31776.66569 - Explaining the importance of Euler’s method in rigid-body dynamics
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Informações sobre o DOI: 10.13140/RG.2.2.31776.66569 (Fonte: oaDOI API)
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