[HTML][HTML] Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions

F Gao, X Ge, J Li, Y Fan, Y Li, R Zhao - Sensors, 2024 - mdpi.com
Highly integrated information sharing among people, vehicles, roads, and cloud systems,
along with the rapid development of autonomous driving technologies, has spurred the …

Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives

H Chen, R Gao, L Fan, E Liu, W Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The innovative development of intelligent cockpit scenarios and functions brings
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …

Video-based engagement estimation of game streamers: An interpretable multimodal neural network approach

S Pan, GJW Xu, K Guo, SH Park… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we propose a non-intrusive and nonrestrictive multimodal deep learning model
for estimating the engagement levels of game streamers. We incorporate three modalities …

Intelligent cockpit for intelligent connected vehicles: definition, taxonomy, technology and evaluation

W Li, D Cao, R Tan, T Shi, Z Gao, J Ma… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As a new round of technological revolution and industrial transformation accelerates,
intelligent connected vehicles have emerged as carriers for advanced technology …

[HTML][HTML] Assessing feature importance in eye-tracking data within virtual reality using explainable artificial intelligence techniques

M Bekler, M Yilmaz, HE Ilgın - Applied Sciences, 2024 - mdpi.com
Our research systematically investigates the cognitive and emotional processes revealed
through eye movements within the context of virtual reality (VR) environments. We assess …

Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas

V Karas, DM Schuller… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Emotion and a broader range of affective and cognitive states play an important role on the
road. While this has been predominantly investigated in terms of driver safety, the …

Driver's Hand-Foot Coordination and Global-Regional Brain Functional Connectivity under Fatigue: Via Graph Theory and Explainable Artificial Intelligence

Y Wu, W Li, J Zhang, B Tang, J **ang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driving fatigue impairs the driver's hand-foot coordination, a significant factor in traffic
accidents. However, the functional brain connectivity underlying driver coordination remains …

Medium-fidelity evaluation and modeling for perception systems of intelligent and connected vehicles

C Sun, Y Cui, ND Dào, RV Mehrizi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article proposes a framework for evaluating and modeling perception systems,
motivated by the need to develop testing scenarios for verification and validation of …

DECNet: A Non-Contacting Dual-Modality Emotion Classification Network for Driver Health Monitoring

Z Dong, C Hu, S Zhou, L Zhu, J Wang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Negative emotions have been identified as significant factors influencing driver behavior,
easily leading to extremely serious traffic accidents. Hence, there is a pressing need to …

How to design driver takeover request in real-world scenarios: A systematic review

H Deng, G **ang, J Pan, X Wu, C Fan, K Wang… - … Research Part F: Traffic …, 2024 - Elsevier
Conditional automated driving systems have become a reality. Ensuring the safety during
the driving takeover process has become a crucial concern, with the takeover request (TOR) …