Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learning-Reference-Cited by-同舟云学术

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Analysis of Road-User Interaction by Extraction of Driver Behavior Features Using Deep Learning

Published:2020 Issue: Volume:8 Page:19638-19645
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bichicchi Arianna^ORCID,Belaroussi Rachid^ORCID,Simone Andrea^ORCID,Vignali Valeria^ORCID,Lantieri Claudio^ORCID,Li Xuanpeng^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08957135.pdf?arnumber=8957135

Cited by 26 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. Data fusion for driver drowsiness recognition: A multimodal perspective;Egyptian Informatics Journal;2024-09

2. Driver and Vehicle Unsafe Behavior Tracking using Deep Learning;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

3. Driving Behaviour Estimation System Considering the Effect of Road Geometry by Means of Deep NN and Hotelling Transform;Electronics;2024-02-02

4. Deep transfer learning-based anomaly detection for cycling safety;Journal of Safety Research;2023-12

5. Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents;Heliyon;2023-11

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