Motorcycle That See: Multifocal Stereo Vision Sensor for Advanced Safety Systems in Tilting Vehicles.

Gustavo Gil,Marco Pierini,Simone Piantini,Giovanni Savino

doi:10.3390/s18010295

Gustavo Gil, Marco Pierini + Show 2 more

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Journal: Sensors	Publication Date: Jan 19, 2018
Citations: 8	License type: CC BY 4.0

Affiliation: University of Florence, Monash University

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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.

Highlights

Automotive sensors are key components of advanced active safety technologies for road vehicles.Research has shown that these technologies, named as Advanced Driver Assistance Systems (ADAS), are beneficial for the society as they contribute to mitigate, or even avoid, road crashes [1,2,3,4]
We aim to provide the way to capitalize on relevant cutting-edge algorithms created for ADAS during the last 20 years and speed-up the development of needed motorcycle safety systems to make motorcycles and mopeds a safer means of transport
The important aspect of this paper relies on the whole explanation of an affordable, lightweight, and low power consumption remote sensor able to 3D measure the environment from a tilting vehicle

Summary

Introduction

Research has shown that these technologies, named as Advanced Driver Assistance Systems (ADAS), are beneficial for the society as they contribute to mitigate, or even avoid, road crashes [1,2,3,4]. One of these technologies is Autonomous Emergency Braking (AEB), a system that detects imminent collisions and responds by automatically applying the brakes and slowing down the vehicle. Research has suggested that AEB could be effective on other types of road vehicles, in particular motorcycles [6] Such implementation of AEB on motorcycles would require that adequate sensing technologies are available for tilting vehicles

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