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Sensors 2018, 18(1), 295; https://doi.org/10.3390/s18010295

Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles

1
Dipartimento di Ingegneria Industriale, Università degli Studi di Firenze, Santa Marta 3, 50139 Firenze, Italy
2
Accident Research Centre, Monash University, Melbourne, 21 Alliance Lane, Clayton, VIC 3800, Australia
*
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 17 January 2018 / Accepted: 17 January 2018 / Published: 19 January 2018
(This article belongs to the Special Issue Sensors for Transportation)
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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. View Full-Text
Keywords: stereo vision; stereo baseline; tilting vehicle; decalibration; motorcycle; ADAS; ARAS stereo vision; stereo baseline; tilting vehicle; decalibration; motorcycle; ADAS; ARAS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Gil, G.; Savino, G.; Piantini, S.; Pierini, M. Motorcycles that See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles. Sensors 2018, 18, 295.

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