An Ultrareliable Low Computational Method for Detecting the Direction of Emergency Vehicle Sirens Based on an Array of Microphones

Autonomous driving is becoming more and more advanced and soon it can represent a real solution for reducing traffic accidents and as a result traffic deaths. In the present paper, we present an emergency vehicle direction of arrival detection backup system for the standard detection systems based on computer vision and/or V2X communication technologies. The proposed system is ultrareliable working for a SNR of under -50 dB and it has a low computational complexity compared to the general available methods. Also, the present system can be used to help drivers identify emergency vehicle sound direction of arrival, especially in cars with performant soundproof interiors.

Authors

Institutions

Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/isetc63109.2024.10797462
Citations
1
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Ultrareliable Low Computational Method for Detecting the Direction of Emergency Vehicle Sirens Based on an Array of Microphones

Valentin A. Nita, Vasilica-Daniela Niţă
1 citations
Speech and Audio Processing
0.35
article

An Ultrareliable Low Computational Method for Detecting the Direction of Emergency Vehicle Sirens Based on an Array of Microphones

Valentin A. Nita, Vasilica-Daniela Niţă
article en
1 citations

Abstract

Autonomous driving is becoming more and more advanced and soon it can represent a real solution for reducing traffic accidents and as a result traffic deaths. In the present paper, we present an emergency vehicle direction of arrival detection backup system for the standard detection systems based on computer vision and/or V2X communication technologies. The proposed system is ultrareliable working for a SNR of under -50 dB and it has a low computational complexity compared to the general available methods. Also, the present system can be used to help drivers identify emergency vehicle sound direction of arrival, especially in cars with performant soundproof interiors.

Polytechnic University of Timişoara (RO), Gheorghe Asachi Technical University of Iași (RO)
Affordable and clean energy
Openalex Percentile: Top 40%
Speech and Audio Processing
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.