Fonte: Proceedings of the International Symposium on Dynamic Problems of Mechanics. Nome do evento: International Symposium on Dynamic Problems of Mechanics - DINAME. Unidade: EP
Assuntos: VEÍCULOS, SENSOR, FILTROS DE KALMAN
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: 23 nov. 2025.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.2.2.31776.66569NLM
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 2025 nov. 23 ] Available from: http://dx.doi.org/10.13140/RG.2.2.31776.66569Vancouver
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 2025 nov. 23 ] Available from: http://dx.doi.org/10.13140/RG.2.2.31776.66569
