Journal article
How Well Can Driverless Vehicles Hear? A Gentle Introduction to Auditory Perception for Autonomous and Smart Vehicles
From sirens to lane markings, the urban environment is full of sounds that are designed to navigate the attention of the driver towards events that require special care. Microphone-equipped autonomous vehicles can also use these acoustic cues for increasing safety and performance. This article explores auditory perception in the context of autonomous driving and smart vehicles in general, examining the potential of exploiting acoustic cues in driverless vehicle technology.
With a journey through the literature, we discuss various applications of auditory perception in driverless vehicles, ranging from the identification and localisation of external acoustic objects to leveraging ego-noise for motion estimation and engine fault detection. In addition to solutions already proposed in the literature, we also point out directions for further investigations, focusing in particular on parallel studies in the areas of acoustics and audio signal processing that demonstrate the potential for improving the performance of driverless cars.
Language: | English |
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Publisher: | IEEE |
Year: | 2022 |
Pages: | 92-105 |
ISSN: | 19411197 and 19391390 |
Types: | Journal article |
DOI: | 10.1109/MITS.2021.3049425 |
ORCIDs: | Fafoutis, Xenofon |
Acoustics Autonomous vehicles Fault detection Hidden Markov models Location awareness Motion estimation Neural networks Object detection Sensors Signal processing Urban areas Vehicle driving Vehicle safety acoustic cues acoustic signal processing audio signal processing auditory perception automobiles autonomous driving car horns driverless cars driverless vehicle technology driverless vehicles drivers engine fault detection external acoustic objects fault diagnosis hearing microphone-equipped autonomous vehicles microphones mobile robots motion estimation road vehicles smart vehicles special care urban environment