多种静止电动汽车的听觉定位
Leon Müller1, Jens Forssén1, Wolfgang Kropp1
1Division of Applied Acoustics, Chalmers University of Technology, Gothenburg, 41296, Sweden.
The Journal of the Acoustical Society of America
|March 24, 2025
概括
电动汽车声响车辆警报系统 (AVAS) 对安全至关重要,但目前的设计可能会阻碍本地化. 这项研究表明,一些AVAS声音比其他声音更难确定,特别是在多辆车的情况下.
科学领域:
- 声学 声学 在声学方面
- 人与计算机的交互
- 汽车安全 汽车安全
背景情况:
- 电动汽车 (EV) 需要声响车辆警报系统 (AVAS) 以确保低速行人安全.
- 目前的AVAS法规是基于单个车辆的检测,而不是复杂场景中的定位精度.
研究的目的:
- 为了评估不同的AVAS声音类型的定位精度和时间.
- 在单辆和多辆车的场景中,将AVAS声音定位与内燃机噪声进行比较.
主要方法:
- 52名参与者使用24个扬声器阵列进行了一个听力实验.
- 燃烧发动机噪声,双色AVAS,多色AVAS和窄带噪声AVAS的局部比较.
- 评估静态单辆和多辆车的声音场景.
主要成果:
- 声音类型显著影响定位精度和时间 (p<0.001).
- 双色AVAS显示出明显更差的定位,特别是在多个同时使用的车辆.
- 在多车辆场景中,多色调和噪声AVAS的表现比燃烧噪声差.
- 在多车辆条件下,所有AVAS的定位故障率急剧增加.
结论:
- AVAS的声音设计需要考虑本地化,而不仅仅是检测.
- 当前的AVAS可能没有为具有多个声音源的复杂城市环境设计.
- 需要进一步的研究来提高AVAS本地化性能,以提高安全性.
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