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Journal Article

Citation

Gil G, Savino G, Piantini S, Pierini M. Sensors (Basel) 2018; 18(1): s18010295.

Affiliation

Dipartimento di Ingegneria Industriale, Università degli Studi di Firenze, Santa Marta 3, 50139 Firenze, Italy. marco.pierini@unifi.it.

Copyright

(Copyright © 2018, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s18010295

PMID

29351267

Abstract

Advanced driver assistance systems, ADAS, have shown the possibility to anticipate crash accidents and effectively assist road users in critical traffic situations. This is not the case for motorcyclists, in fact ADAS for motorcycles are still barely developed. Our aim was to study a camera-based sensor for the application of preventive safety in tilting vehicles. We identified two road conflict situations for which automotive remote sensors installed in a tilting vehicle are likely to fail in the identification of critical obstacles. Accordingly, we set two experiments conducted in real traffic conditions to test our stereo vision sensor. Our promising results support the application of this type of sensors for advanced motorcycle safety applications.


Language: en

Keywords

ADAS; ARAS; decalibration; motorcycle; stereo baseline; stereo vision; tilting vehicle

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