汽笛检测的低计算方法

R. Dobre, V. A. Nita, A. Ciobanu, C. Negrescu, D. Stanomir
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引用次数: 15

摘要

驾驶辅助系统可以检测到警笛发出的声音并警告驾驶员,它具有无可争辩的优势:减少涉及紧急车辆的事故数量,通过影响驾驶员尽早采取行动为这些车辆扫清道路来挽救生命。美国国家公路交通安全管理局在2012年报告了60起涉及使用特定信号(鸣笛、闪烁灯)的紧急车辆的事故,其中至少有一人死亡,2011年有51人死亡,2010年有67人死亡。在某些情况下,听到警笛对避免事故起着至关重要的作用,例如在十字路口。在这种情况下,紧急车辆的视觉检测可能发生得太晚,无法避免事故。也有听力受损的人驾驶,听不到警笛。警报器检测系统已经存在,但它们使用复杂的信号处理算法,要求非常高的处理能力,因此价格昂贵。本文提出了一种基于单片机的低成本警报器检测系统,该系统采用模拟电子模块来降低所需的处理功率。本文对系统的详细设计以及MATLAB和SPICE仿真结果进行了说明和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low computational method for siren detection
A driving assistance system which can detect the sound produced by sirens and warn the driver has indisputable advantages: diminishes the numbers of accidents involving emergency vehicles, saves lives by influencing the drivers to take early actions in order to clear the way for these vehicles. The United States National Highway Traffic Safety Administration reported in 2012 a number of 60 accidents involving emergency vehicles travelling with the specific signals (sounding siren, blinking lights) in use in which at least one person died preceded by 51 in 2011 and 67 in 2010. There are situations when hearing the siren plays a critical role in avoiding an accident, for example at crossroads. In such cases the visual detection of the emergency vehicle can happen too late to avoid an accident. Also there are hearing-impaired persons who drive and have difficulties in hearing the siren. Siren detection systems exist but they use complex signal processing algorithms, demanding very high processing power and, in consequence, they are expensive. The paper presents a cost effective microcontroller based siren detection system which uses analog electronics blocks to decrease the needed processing power. The detailed system along with the MATLAB and SPICE simulation results are illustrated and discussed in the paper.
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