Motorcycle Eyes

As technology continues to advance the safety factor has increased for vehicles on the roads. However, not much has been done to help improve the safety of motorcyclist. To help to solve this problem a wireless blind spot indicator for a motorcycle helmet will be designed. It will be powered off the motorcycle and have indication zones for the left, right, and rear blind spots. The system will alert the rider if a vehicle is within 7 meters of the back of the motorcycle in any of the mentioned blind spots. The radar sensors will detect the vehicle and send a signal to a microcontroller on the motorcycle which will wirelessly communicate to another microcontroller in the helmet via Bluetooth. The microcontroller in the helmet will then indicate to the rider which blind spot in occupied. This technology is already being utilized on cars and now it can hopefully be used to help insure the safety of motorcyclist as well

Soft sensors in automotive applications

2017 - 2018In this work, design and validation techniques of two soft sensors for the estimation of the motorcycle vertical dynamic have been proposed. The aim of this work is to develop soft sensors able to predict the rear and front stroke of a motorcycle suspension. This kind of information are typically used in the control loop of semi‐active or active suspension systems. Replacing the hard sensor with a soft sensor, enable to reduce cost and improve reliability of the system. An analysis of the motorcycle physical model has been carried out to analyze the correlation existing among motorcycle vertical dynamic quantities in order to determine which of them are necessary for the development of a suspension stroke soft sensor. More in details, a first soft sensor for the rear stroke has been developed using a Nonlinear Auto‐Regressive with eXogenous inputs (NARX) neural network. A second soft sensor for the front suspension stroke velocity has been designed using two different techniques based respectively on Digital filtering and NARX neural network. As an example of application, an Instrument Fault Detection (IFD) scheme, based on the rear stroke soft sensor, has been shown. Experimental results have demonstrated the good reliability and promptness of the scheme in detecting different typologies of faults as losing calibration faults, hold‐faults, and open/short circuit faults thanks to the soft sensor developed. Finally, the scheme has been successfully implemented and tested on an ARM microcontroller, to confirm the feasibility of a real‐time implementation on actual processing units used in such context. [edited by Author]XXX cicl

Optical Sensors for Real-Time Measurement of Motorcycle Tilt Angle

reserved5M. NORGIA; I. BONIOLO; M. TANELLI; S.M. SAVARESI; C. SVELTONorgia, Michele; Boniolo, IVO EMANUELE FRANCESCO; Tanelli, Mara; Savaresi, SERGIO MATTEO; Svelto, Cesar