| Abstract |
This review paper provides a comprehensive analysis of various acoustic-based emergency vehicle detection techniques. Emergency vehicle detection is a critical problem that needs to be addressed to improve the response time of emergency services. Acoustic-based techniques are among the most promising solutions for emergency vehicle detection due to their ability to detect the sirens and horns of emergency vehicles from a distance. This review paper presents a detailed analysis of the different acoustic-based techniques used, including microphone arrays, Doppler radar, and acoustic signal processing algorithms. The strengths and limitations of each technique are discussed in detail, and the review also identifies key challenges that need to be addressed to improve the accuracy and efficiency of emergency vehicle detection systems. These challenges include issues related to background noise, interference from other sources, and the need for reliable and robust signal processing algorithms. The review highlights the need for further research in this area, particularly to evaluate the performance of these techniques in real-world conditions and to explore the potential integration of emergency vehicle detection systems with other smart city technologies. In this paper, we analyze various emergency vehicle detection techniques in terms of specific parameters, offering insight into their effectiveness. © 2023 IEEE. |
