CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis-Reference-Cited by-同舟云学术

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CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis

Published:2024-04 Issue: Volume:147 Page:104431
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Podda Alessandro Sebastian^ORCID,Balia Riccardo,Pompianu Livio,Carta Salvatore,Fenu Gianni,Saia Roberto

Funder

Regione Autonoma della Sardegna

Governo Italiano Ministero dell'Istruzione dell'Universita e della Ricerca

Publisher

Elsevier BV

Reference46 articles.

1. Automatic crash notification and the urgency algorithm: its history, value, and use;Champion;Adv. Emerg. Nursing J.,2004

2. Impact of rapid incident detection on freeway accident fatalities;Evanco,1996

3. A survey of vision-based traffic monitoring of road intersections;Datondji;IEEE Trans. Intell. Transp. Syst.,2016

4. Car crash prevention and detection system using sensors and smart poles;Haria,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved method for drone sound event detection system aiming at the impact of background noise and angle deviation;Sensors and Actuators A: Physical;2024-10

2. Vechicular Accident Detection and Alert Generation Using IoT;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

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