A Non-Invasive Method for the Safe Interaction of Cities and Electric Vehicle Fleets
| Autor: | Anthony D. Fagan, Brian Mulkeen, Robert Shorten, Bill Power |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pollution
business.product_category Computer science media_common.quotation_subject Non invasive Process (computing) Systems and Control (eess.SY) 02 engineering and technology 010501 environmental sciences 01 natural sciences Automotive engineering Noise Electric vehicle FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Computer Science - Systems and Control 020201 artificial intelligence & image processing business 0105 earth and related environmental sciences media_common |
| Zdroj: | ITSC |
| DOI: | 10.1109/itsc.2018.8569969 |
| Popis: | Electric and hybrid vehicles are growing in popularity. While these vehicles produce less pollution, they also produce less audible noise, especially at lower speeds. This makes it harder for pedestrians and cyclists to detect an approaching vehicle. Thus, an additional system is required to detect electric and hybrid vehicles and alert pedestrians and cyclists of their whereabouts, especially while these vehicles are driving at low speeds in cities. This paper introduces one such method based on high frequency audio emissions that are present in EVs, which arise, for example, from the process of magnetostriction. Our method is tested experimentally using 4 different tests vehicles, and a preliminary EV detection algorithm is also presented. Submitted to ITSC 2018 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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