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Heng Wang, Zhe Li, Junjie Hao, Weibin Liu, Zhaoyi Xu, Yuwei Fu
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CAFFT: Cross-attention feature fusion transformer for risky driving behavior recognition
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10.1016/j.compeleceng.2025.110235 · 2025
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10.1109/tase.2021.3088897 · 2022
Detection of train driver fatigue and distraction based on forehead EEG: A time-series ensemble learning method
10.1109/tits.2021.3125737 · 2022
Driver distraction detection based on vehicle dynamics using naturalistic driving data
10.1016/j.trc.2022.103561 · 2022
Online detection of driver fatigue using steering wheel angles for real driving conditions
10.3390/s17030495 · 2017
A method for fatigue detection based on driver’s steering wheel grip
10.1016/j.ergon.2021.103083 · 2021
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DriSm_YNet: A breakthrough in real-time recognition of driver smoking behavior using YOLO-NAS
10.1007/s00521-024-10162-w · 2024
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10.1016/j.neucom.2020.09.023 · 2021
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10.1109/jbhi.2021.3096984 · 2022
Driving fatigue detection based on hybrid electroencephalography and eye tracking
10.1109/jbhi.2024.3446952 · 2024
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10.1016/j.compbiomed.2022.106431 · 2023
EEG-based driver drowsiness detection based on simulated driving environment
10.1016/j.neucom.2024.128961 · 2025
Driver behavior soft-sensor based on neurofuzzy systems and weighted projection on principal components
10.1109/jsen.2020.2995921 · 2020
10.1109/iros55552.2023.10342070
10.1109/iros55552.2023.10342070
Unresolved referenced work
2024
Automatic driver distraction detection using deep convolutional neural networks
2022
CEAM-YOLOv7: Improved YOLOv7 based on channel expansion and attention mechanism for driver distraction behavior detection
10.1109/access.2022.3228331 · 2022
Multimodal driver distraction detection using dual-channel network of CNN and transformer
10.1016/j.eswa.2023.121066 · 2023
Unresolved referenced work
2023
Contrastive multiview coding
2020
Multiview classification with cohesion and diversity
10.1109/tcyb.2018.2881474 · 2020
A survey on multiview clustering
10.1109/tai.2021.3065894 · 2021
Deep multiview learning for hyperspectral image classification
10.1109/tgrs.2020.3034133 · 2021
10.1109/iccv.2019.00972
10.1109/iccv.2019.00972
E2DR: A deep learning ensemble-based driver distraction detection with recommendations model
10.3390/s22051858 · 2022
Recognizing distractions for assistive driving by tracking body parts
10.1109/tcsvt.2018.2818407 · 2019
Driver distraction identification with an ensemble of convolutional neural networks
2019
10.1007/978-3-030-66823-5_23
10.1007/978-3-030-66823-5_23
Distracted driver detection by combining in-vehicle and image data using deep learning
10.1016/j.asoc.2020.106657 · 2020
SSD: Single shot MultiBox detector
2016
Unresolved referenced work
2024
10.1109/cvpr52729.2023.00721
10.1109/cvpr52729.2023.00721
Unresolved referenced work
2024
Improving real-time driver distraction detection via constrained attention mechanism
10.1016/j.engappai.2023.107408 · doi-reference
10.1109/iccv.2017.324
10.1109/iccv.2017.324 · doi-reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · doi-reference
10.1109/cvpr52733.2024.01605
10.1109/cvpr52733.2024.01605 · doi-reference