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Driver Distraction Detection Methods: A Literature Review and Framework

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References

2002Analyzing the Past to Prepare for the Future: Writing a Literature Review7,440 cited
2011A Guide to Conducting a Systematic Literature Review of Information Systems Research1,849 cited
2011Driver Inattention Monitoring System for Intelligent Vehicles: A Review728 cited
2005Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance708 cited
2014Transition to manual: Driver behaviour when resuming control from a highly automated vehicle642 cited
2018Driver Fatigue Detection Systems: A Review557 cited
2014What literature review is not: diversity, boundaries and recommendations547 cited
2011Driver distraction and driver inattention: Definition, relationship and taxonomy503 cited
2003Driver distraction: A review of the literature449 cited
2015Driver Behavior Analysis for Safe Driving: A Survey404 cited
2016Understanding the impacts of mobile phone distraction on driving performance: A systematic review319 cited
2019Driver Distraction Identification with an Ensemble of Convolutional Neural Networks307 cited
2010Combining cognitive and visual distraction: Less than the sum of its parts271 cited
2010Driver Distraction in Commercial Vehicle Operations261 cited

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1967THE ATTENTIONAL DEMAND OF AUTOMOBILE DRIVING256 cited

2022Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence241 cited

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2022Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles177 cited
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2024Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos68 cited
2023Real-time monitoring of driver distraction: State-of-the-art and future insights61 cited
2024Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment58 cited
2024Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions54 cited
2022Real-time driver distraction recognition: A hybrid genetic deep network based approach53 cited