Multivariate Modelling for Autonomous Vehicles: research trends in perspective

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Conceicao, L (Autor) Outra; Rosaldo J. F. Rossetti (Autor) FEUP

Ata de Conferência Internacional

Título: IEEE 19th International Conference on Intelligent Transportation Systems: Proceedings

Páginas: 83-87

ITSC 2016 - 19th IEEE International Conference on Intelligent Transportation Systems

Rio de Janeiro, 1 de novembro de 2016

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00M-CQ3

DOI: 10.1109/itsc.2016.7795536

Abstract (EN): Over the last decade, the impressive technological advancement around artificial intelligence have encouraged and stimulated much research on driverless cars. Inevitability, such novelty casts huge speculation on its effective deployment in the urban reality. The viability issue of cybercars demands appropriate research so as to infer and validate upcoming impacts at different levels, especially the mobility level, and address new performance measures intrinsic to this novel transportation paradigm. Therefore, this paper presents a short overview perspective about the definitions around the so-called autonomous vehicles. Additionally, as long as multivariate modelling is concerned, this position paper contributes with insights that span some of the future problematics and research questions regarding the automated vehicles topic.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5