Gomes, Iago Pachêco 
; Wolf, Denis Fernando
Source: Neurocomputing. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, MÉTODOS DE PREVISÃO E CORREÇÃO, TRAJETÓRIA, TOMADA DE DECISÃO
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GOMES, Iago Pachêco e WOLF, Denis Fernando. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving. Neurocomputing, v. 651, p. 1-19, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2025.131014. Acesso em: 11 nov. 2025.APA
Gomes, I. P., & Wolf, D. F. (2025). A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving. Neurocomputing, 651, 1-19. doi:10.1016/j.neucom.2025.131014NLM
Gomes IP, Wolf DF. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving [Internet]. Neurocomputing. 2025 ; 651 1-19.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2025.131014Vancouver
Gomes IP, Wolf DF. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving [Internet]. Neurocomputing. 2025 ; 651 1-19.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2025.131014
