Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection-Reference-Cited by-同舟云学术

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Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection

Published:2021-03-22 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Author:

Atzori Andrea,Barra Silvio,Carta Salvatore,Fenu Gianni,Podda Alessandro Sebastian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9430855/9430860/09431052.pdf?arnumber=9431052

Cited by 13 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. RoadSense3D: A Framework for Roadside Monocular 3D Object Detection;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. Artificial Intelligence Methods for Smart Cities;Sensors;2024-04-19

3. Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

4. CARgram: CNN-based accident recognition from road sounds through intensity-projected spectrogram analysis;Digital Signal Processing;2024-04

5. Anomaly Detection in Surveillance Videos Using Deep Learning and SVM Based Data Reduction Method;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

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