Multivariate Modelling for Autonomous Vehicles: research trends in perspective

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Conceicao, L (Author) Other; Rosaldo J. F. Rossetti (Author) FEUP

Conference proceedings International

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

Pages: 83-87

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

Rio de Janeiro, 1 de novembro de 2016

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5