An intelligent frontal collision warning system for motorcycles.

Author(s)
Biral, F. Lot, R. Sartori, R. Borin, A. & Roessler, B.
Year
Abstract

This article introduces a novel Frontal Collision Warning system for motorcycles, which has been developed in the SAFERIDER project of the 7th EU FP. The Frontal Collision Warning function (FCW) described here is based on a holistic approach, which localizes the motorcycle in the road geometry, estimates the motorcycle dynamics state and rider input and senses obstacles in the motorcycle lane. The warning strategy is based on the correction of longitudinal dynamics as suggested by an optimal previewed manoeuvre (reference manoeuvre), which is continuously computed from the actual state of the vehicle. The reference manoeuvre accounts for the riding styles and in normal driving conditions fairly matches with the rider’s one. However, when the rider misses to spot a front obstacle or does not brake enough a large difference between actual and ideal acceleration is generated therefore the rider is warned to decelerate or brake. As soon as the correct value of deceleration is achieved the warning disappears improving the system acceptability. Warnings are given to the rider via a proper combination of haptic, visual and audio signals thanks to specific HMI device, which include an haptic handle among, a vibrating glove, a smart helmet, and a visual display. (Author/publisher) For this paper, other papers and posters presented at this Symposium see http://bicycle.tudelft.nl/bmd2010/

Request publication

3 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
20122385 m ST [electronic version only]
Source

In: Proceedings of the Bicycle and Motorcycle Dynamics 2010 Symposium on the Dynamics and Control of Single Track Vehicles, Delft University of Technology, The Netherlands, 20-22 October 2010, Pp.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.