Car Accident Detection and Reconstruction Through Sound Analysis with Crashzam-Reference-Cited by-同舟云学术

Car Accident Detection and Reconstruction Through Sound Analysis with Crashzam

Published:2019 Issue: Volume: Page:159-180
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Sammarco Matteo,Detyniecki Marcin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-26633-2_8

Reference56 articles.

1. Euro NCAP, European New Car Assessment Programme (2018). https://www.euroncap.com/en . Accessed 03 May 2018

2. NHTSA, National Highway Traffic Safety Administration (2018). https://www.nhtsa.gov . Accessed 03 May 2018

3. World Health Organization: Global status report on road safety (2015). http://www.who.int/violence_injury_prevention/road_safety_status/2015/en/ . Accessed 03 May 2018

4. Plevin, R.E., Kaufman, R., Fraade-Blanar, L., Bulger, E.M.: Evaluating the potential benefits of advanced automatic crash notification. Prehospital Disaster Med. 32, 156–164 (2017)

5. Evanco, W.M.: The impact of rapid incident detection on freeway accident fatalities (1996)

Cited by 5 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. Applications and Services Using Vehicular Exteroceptive Sensors: A Survey;IEEE Transactions on Intelligent Vehicles;2023-01

2. Sound Localization Framework for Construction Site Monitoring;Applied Sciences;2022-10-25

3. Soft computing based audio signal analysis for accident prediction;International Journal of Pervasive Computing and Communications;2021-03-26

4. Audio Surveillance: Detection of Audio-Based Emergency Situations;Advances in Computational Collective Intelligence;2021

5. Providing Safety for Citizens and Tourists in Cities: A System for Detecting Anomalous Sounds;Communications in Computer and Information Science;2021