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Cyclist Safety Device based on Spectral Audio Processing for Approaching Vehicles Detection
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DOI：10.1109/I2MTC60896.2024.10560683.png)
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Abstract
En 中文
Safety is one of the key points that limit the spread of light mobility. The objective of this work is the proposal of a proof of concept of an embedded, low-cost, battery-powered system to be placed on the back of the bike capable of recognizing an approaching car in advance and accessing a visual signal that warns the coming car of the cyclist's presence. Many studies in the literature on vehicle approach detection use audio-video techniques; however, they unsatisfactorily apply to embedded implementation due to their computational complexity. Based on the analysis of a publicly available data-set of audio recordings, this study proposes a technique that can detect the car approaching by low-frequency spectral audio signal analysis. The real-time acquired signal, while the bike is in motion, is compared to the detection of the background spectral noise obtained in static conditions of the bike.
Keywords:
Cyclists Safety
Audio Signal Processing
Embedded Systems
Light Mobility
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