Speech emotion recognition enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space–air–ground integrated intelligent transportation …

L Tan, K Yu, L Lin, X Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) is becoming the main human–computer interaction logic
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …

Global-local-feature-fused driver speech emotion detection for intelligent cockpit in automated driving

W Li, J Xue, R Tan, C Wang, Z Deng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Affective interaction between the intelligent cockpit and humans is becoming an emerging
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …

Artificial intelligence for vehicle-to-everything: A survey

W Tong, A Hussain, WX Bo, S Maharjan - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, the advancement in communications, intelligent transportation systems, and
computational systems has opened up new opportunities for intelligent traffic safety, comfort …

Resource allocation for vehicular fog computing using reinforcement learning combined with heuristic information

S Lee, SK Lee - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has emerged as a key component of smart cities. Connected
vehicles are increasingly processing real-time data to respond immediately to user requests …

Toward social internet of vehicles: Concept, architecture, and applications

KM Alam, M Saini, A El Saddik - IEEE access, 2015 - ieeexplore.ieee.org
The main vision of the Internet of Things (IoT) is to equip real-life physical objects with
computing and communication power so that they can interact with each other for the social …

A convolution bidirectional long short-term memory neural network for driver emotion recognition

G Du, Z Wang, B Gao, S Mumtaz… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Real-time recognition of driver emotions can greatly improve traffic safety. With the rapid
development of communication technology, it becomes possible to process large amounts of …

A spontaneous driver emotion facial expression (defe) dataset for intelligent vehicles: Emotions triggered by video-audio clips in driving scenarios

W Li, Y Cui, Y Ma, X Chen, G Li, G Zeng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this article, a new dataset, the driver emotion facial expression (DEFE) dataset for drivers'
spontaneous emotions analysis is introduced. The dataset includes facial expression …

AI-enabled reliable channel modeling architecture for fog computing vehicular networks

AH Sodhro, GH Sodhro, M Guizani… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Artificial intelligence (AI)-driven fog computing (FC) and its emerging role in vehicular
networks is playing a remarkable role in revolutionizing daily human lives. Fog radio access …

Quality of service optimization in an IoT-driven intelligent transportation system

AH Sodhro, MS Obaidat, QH Abbasi… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
High mobility in ITS, especially V2V communication networks, allows increasing coverage
and quick assistance to users and neighboring networks, but also degrades the …

Fog based intelligent transportation big data analytics in the internet of vehicles environment: motivations, architecture, challenges, and critical issues

TSJ Darwish, KA Bakar - IEEE Access, 2018 - ieeexplore.ieee.org
The intelligent transportation system (ITS) concept was introduced to increase road safety,
manage traffic efficiently, and preserve our green environment. Nowadays, ITS applications …