Deep learning for distracted driving recognition with multisource data: A comprehensive review

Key Points

• Distracted driving recognition using deep learning shows promising advances in safety technologies.
• Key evidence indicates that multiple data sources enhance recognition accuracy in real-time applications.
• The review examines recognition algorithms and their effectiveness across different datasets and scenarios.
• Findings suggest that effective implementation may significantly reduce road accidents related to distractions.