Monte Carlo localization on gaussian process occupancy maps for urban environments (2018)
Hata, Alberto Y; Ramos, Fabio T.; Wolf, Denis Fernando 
Source: IEEE Transactions on Intelligent Transportation Systems. Unidade: ICMC
Subjects: PROCESSOS GAUSSIANOS, MÉTODO DE MONTE CARLO, ROBÔS, APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO MÓVEL
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HATA, Alberto Y e RAMOS, Fabio T. e WOLF, Denis Fernando. Monte Carlo localization on gaussian process occupancy maps for urban environments. IEEE Transactions on Intelligent Transportation Systems, v. 19, n. 9, p. 2893-2902, 2018Tradução . . Disponível em: https://doi.org/10.1109/TITS.2017.2761774. Acesso em: 24 fev. 2026.APA
Hata, A. Y., Ramos, F. T., & Wolf, D. F. (2018). Monte Carlo localization on gaussian process occupancy maps for urban environments. IEEE Transactions on Intelligent Transportation Systems, 19( 9), 2893-2902. doi:10.1109/TITS.2017.2761774NLM
Hata AY, Ramos FT, Wolf DF. Monte Carlo localization on gaussian process occupancy maps for urban environments [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2018 ; 19( 9): 2893-2902.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1109/TITS.2017.2761774Vancouver
Hata AY, Ramos FT, Wolf DF. Monte Carlo localization on gaussian process occupancy maps for urban environments [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2018 ; 19( 9): 2893-2902.[citado 2026 fev. 24 ] Available from: https://doi.org/10.1109/TITS.2017.2761774
