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Scene gaze | In-vehicle gaze | Distraction detection | Drowsiness detection | Action anticipation | Driver awareness | Self-driving | Papers with code
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Zhang et al., What Are the Differences in Driver Lane-Changing Intention Models Recognition Performance Between Connected and Non-Connected Environments, Trans. ITS, 2024 | paper
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Dataset(s): private
@article{2024_T-ITS_Zhang, author = "Zhang, Hongjia and Wu, Fuwei and Guo, Dong and Gao, Song", journal = "IEEE Transactions on Intelligent Transportation Systems", publisher = "IEEE", title = "What Are the Differences in Driver Lane-Changing Intention Models Recognition Performance Between Connected and Non-Connected Environments", year = "2024" }
Pardo-Decimavilla et al., Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition Networks, IV, 2024 | paper | code
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Dataset(s): Drive&Act
@inproceedings{2024_IV_Pardo-Decimavilla, author = "Pardo-Decimavilla, Pablo and Bergasa, Luis M and Montiel-Mar{\'\i}n, Santiago and Antunes, Miguel and Llamazares, {\'A}ngel", booktitle = "2024 IEEE Intelligent Vehicles Symposium (IV)", organization = "IEEE", pages = "1395--1400", title = "Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition Networks", year = "2024" }
Zhang et al., Driver Lane-Changing Intention Recognition Based on Stacking Ensemble Learning in the Connected Environment: A Driving Simulator Study, Trans. ITS, 2023 | paper
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Dataset(s): private
@article{2023_T-ITS_Zhang, author = "Zhang, Hongjia and Gao, Song and Guo, Yingshi", journal = "IEEE Transactions on Intelligent Transportation Systems", publisher = "IEEE", title = "Driver lane-changing intention recognition based on stacking ensemble learning in the connected environment: A driving simulator study", year = "2023" }
Yi et al., Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network-Based Framework, Trans. ITS, 2023 | paper
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Dataset(s): BLVD
@article{2023_T-ITS_Yi, author = "Yi, Yangtian and Lu, Chao and Wang, Boyang and Cheng, Long and Li, Zirui and Gong, Jianwei", journal = "IEEE Transactions on Intelligent Transportation Systems", publisher = "IEEE", title = "Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network-Based Framework", year = "2023" }
Guo et al., Temporal Information Fusion Network for Driving Behavior Prediction, Trans. ITS, 2023 | paper
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Dataset(s): Brain4Cars, private
@article{2023_T-ITS_Guo, author = "Guo, Chenghao and Liu, Haizhuang and Chen, Jiansheng and Ma, Huimin", journal = "IEEE Transactions on Intelligent Transportation Systems", publisher = "IEEE", title = "Temporal Information Fusion Network for Driving Behavior Prediction", year = "2023" }
Zhao et al., End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras, IV, 2023 | paper
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Dataset(s): private
@inproceedings{2023_IV_Zhao, author = "Zhao, Zhouqiao and Wei, Zhensong and Tian, Danyang and Reimer, Bryan and Gershon, Pnina and Moradi-Pari, Ehsan", booktitle = "2023 IEEE Intelligent Vehicles Symposium (IV)", organization = "IEEE", pages = "1--8", title = "End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras", year = "2023" }
Dahl et al., Intention-Aware Lane Keeping Assist Using Driver Gaze Information, IV, 2023 | paper
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Dataset(s): private
@inproceedings{2023_IV_Dahl, author = "Dahl, John and de Campos, Gabriel Rodrigues and Fredriksson, Jonas", booktitle = "2023 IEEE Intelligent Vehicles Symposium (IV)", organization = "IEEE", pages = "1--7", title = "Intention-Aware Lane Keeping Assist Using Driver Gaze Information", year = "2023" }
Tanama et al., Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments, IROS, 2023 | paper | code
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Dataset(s): Drive&Act
@inproceedings{2023_IROS_Tanama, author = "Tanama, Calvin and Peng, Kunyu and Marinov, Zdravko and Stiefelhagen, Rainer and Roitberg, Alina", booktitle = "2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)", organization = "IEEE", pages = "5479--5486", title = "Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments", year = "2023" }
Peng et al., TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration, IROS, 2022 | paper | code
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Dataset(s): Drive&Act
@inproceedings{2022_IROS_Peng, author = "Peng, Kunyu and Roitberg, Alina and Yang, Kailun and Zhang, Jiaming and Stiefelhagen, Rainer", booktitle = "2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)", organization = "IEEE", pages = "278--285", title = "TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration", year = "2022" }
Zhao et al., PAND: Precise Action Recognition on Naturalistic Driving, CVPRW, 2022 | paper
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Dataset(s): DGDB
@inproceedings{2022_CVPRW_Zhao, author = "Zhao, Hangyue and Xiao, Yuchao and Zhao, Yanyun", booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition", pages = "3291--3299", title = "PAND: Precise action recognition on naturalistic driving", year = "2022" }
Huang et al., Driver Glance Behavior Modeling based on Semi-supervised Clustering and Piecewise Aggregate Representation, Trans. ITS, 2021 | paper
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Dataset(s): private
@article{2021_T-ITS_Huang, author = "Huang, Jianling and Long, Yan and Zhao, Xiaohua", journal = "IEEE Transactions on Intelligent Transportation Systems", publisher = "IEEE", title = "Driver Glance Behavior Modeling Based on Semi-Supervised Clustering and Piecewise Aggregate Representation", year = "2021" }
Lee et al., Continuous Car Driving Intent Detection Using Structural Pattern Recognition, Trans. ITS, 2020 | paper
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Dataset(s): private
@article{2020_T-ITS_Lee, author = "Lee, Sukhan and Khan, Muhammad Qasim and Husen, Mohd Nizam", journal = "IEEE Transactions on Intelligent Transportation Systems", number = "2", pages = "1001--1013", title = "Continuous car driving intent detection using structural pattern recognition", volume = "22", year = "2020" }
Amadori et al., Decision Anticipation for Driving Assistance Systems, ITSC, 2020 | paper
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Dataset(s): private
@inproceedings{2020_ITSC_Amadori, author = "Amadori, Pierluigi Vito and Fischer, Tobias and Wang, Ruohan and Demiris, Yiannis", booktitle = "2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)", organization = "IEEE", pages = "1--7", title = "Decision anticipation for driving assistance systems", year = "2020" }
Akai et al., Driving Behavior Modeling Based on Hidden Markov Models with Driver’s Eye-Gaze Measurement and Ego-Vehicle Localization, IV, 2019 | paper
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Dataset(s): private
@inproceedings{2019_IV_Akai, author = "Akai, Naoki and Hirayama, Takatsugu and Morales, Luis Yoichi and Akagi, Yasuhiro and Liu, Hailong and Murase, Hiroshi", booktitle = "IV", title = "{Driving behavior modeling based on hidden Markov models with driver's eye-gaze measurement and ego-vehicle localization}", year = "2019" }
Wu et al., Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles, IROS, 2019 | paper
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Dataset(s): private
@inproceedings{2019_IROS_Wu, author = "Wu, Min and Louw, Tyron and Lahijanian, Morteza and Ruan, Wenjie and Huang, Xiaowei and Merat, Natasha and Kwiatkowska, Marta", booktitle = "IROS", title = "Gaze-based intention anticipation over driving manoeuvres in semi-autonomous vehicles", year = "2019" }
Martin et al., Dynamics of Driver’s Gaze: Explorations in Behavior Modeling and Maneuver Prediction, Trans. ITS, 2018 | paper
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Dataset(s): private
@article{2018_TIV_Martin, author = "Martin, Sujitha and Vora, Sourabh and Yuen, Kevan and Trivedi, Mohan Manubhai", journal = "IEEE Transactions on Intelligent Vehicles", number = "2", pages = "141--150", title = "Dynamics of driver's gaze: Explorations in behavior modeling and maneuver prediction", volume = "3", year = "2018" }
Martin et al., Gaze Fixations and Dynamics for Behavior Modeling and Prediction of On-road Driving Maneuvers, IV, 2017 | paper
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Dataset(s): private
@inproceedings{2017_IV_Martin, author = "Martin, Sujitha and Trivedi, Mohan M", booktitle = "IV", title = "Gaze fixations and dynamics for behavior modeling and prediction of on-road driving maneuvers", year = "2017" }
Li et al., Detecting Drivers' Mirror-Checking Actions and Its Application to Maneuver and Secondary Task Recognition, Trans. ITS, 2016 | paper
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Dataset(s): private
@article{2016_T-ITS_Li, author = "Li, Nanxiang and Busso, Carlos", journal = "IEEE Transactions on Intelligent Transportation Systems", number = "4", pages = "980--992", publisher = "IEEE", title = "Detecting drivers' mirror-checking actions and its application to maneuver and secondary task recognition", volume = "17", year = "2015" }
Jain et al., Recurrent Neural Networks for Driver Activity Anticipation via Sensory-Fusion Architecture, ICRA, 2016 | paper | code
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Dataset(s): Brain4Cars
@inproceedings{2016_ICRA_Jain, author = "Jain, Ashesh and Singh, Avi and Koppula, Hema S and Soh, Shane and Saxena, Ashutosh", booktitle = "ICRA", title = "Recurrent neural networks for driver activity anticipation via sensory-fusion architecture", year = "2016" }
Pugeault et al., How much of driving is preattentive?, Transactions on Vehicular Technology, 2015 | paper
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Dataset(s): DIPLECS
@article{2015_TranVehTech_Pugeault, author = "Pugeault, Nicolas and Bowden, Richard", journal = "IEEE Transactions on Vehicular Technology", number = "12", pages = "5424--5438", publisher = "IEEE", title = "How much of driving is preattentive?", volume = "64", year = "2015" }
Jain et al., Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models, ICCV, 2015 | paper
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Dataset(s): Brain4Cars
@inproceedings{2015_ICCV_Jain, author = "Jain, Ashesh and Koppula, Hema S and Raghavan, Bharad and Soh, Shane and Saxena, Ashutosh", booktitle = "ICCV", title = "Car that knows before you do: Anticipating maneuvers via learning temporal driving models", year = "2015" }
Ohn-Bar et al., Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis, CVPRW, 2014 | paper
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Dataset(s): private
@inproceedings{2014_CVPRW_Ohn-Bar, author = "Ohn-Bar, Eshed and Tawari, Ashish and Martin, Sujitha and Trivedi, Mohan M", booktitle = "CVPRW", title = "Vision on wheels: Looking at driver, vehicle, and surround for on-road maneuver analysis", year = "2014" }
Mori et al., Integrated Modeling of Driver Gaze and Vehicle Operation Behavior to Estimate Risk Level During Lane Changes, ITSC, 2013 | paper
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Dataset(s): private
@inproceedings{2013_ITSC_Mori, author = "Mori, Masataka and Miyajima, Chiyomi and Hirayama, Takatsugu and Kitaoka, Norihide and Takeda, Kazuya", booktitle = "ITSC", title = "Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes", year = "2013" }
Pugeault et al., Learning Pre-attentive Driving Behaviour from Holistic Visual Features, ACCV, 2010 | paper
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Dataset(s): DIPLECS
@inproceedings{2010_ACCV_Pugeault, author = "Pugeault, Nicolas and Bowden, Richard", booktitle = "ECCV", title = "Learning pre-attentive driving behaviour from holistic visual features", year = "2010" }