Real-Time Acoustic Perception for Automotive Applications
Author:
Affiliation:
1. ESAT-MICAS,KU Leuven
2. ESAT-STADIUS,KU Leuven
3. Robert Bosch GmbH
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10136870/10136706/10137209.pdf?arnumber=10137209
Reference42 articles.
1. Acoustic-Based Emergency Vehicle Detection Using Convolutional Neural Networks
2. Pyroadacoustics: a Road Acoustics Simulator Based on Variable Length Delay Lines;damiano;Proc 25th Int Conf Digital Audio Effects (DAFx20in22),2022
3. Microphone Array Optimization for Autonomous-Vehicle Audio Localization Based on the Radon Transform;barak;Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019),2020
4. Audio Set: An ontology and human-labeled dataset for audio events
5. Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes
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