Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks

Author:

Khosravinia Pooyan1,Perumal Thinagaran1ORCID,Zarrin Javad2

Affiliation:

1. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia

2. School of Design and Informatics, Abertay University, Bell Street, Dundee, UK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 3 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. Enhancing Road Safety: Leveraging CNN-LSTM and Bi-LSTM Models for Advanced Driver Behavior Detection;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

2. A Transfer Learning Approach with Modified VGG 16 for Driving Behavior Detection in Intelligent Transportation Systems;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

3. A Novel Approach to Vehicular Safety: Raspberry Pi-based Collision Avoidance and Connectivity in Smart Automobiles Leveraging AI-driven Sensor Fusion;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

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