Smart Driver Monitoring Robotic System to Enhance Road Safety : A Comprehensive Review
Farhin Farhad Riya, Shahinul Hoque, Xiaopeng Zhao, Jinyuan Stella Sun

TL;DR
This comprehensive review discusses the integration of robotic systems with artificial intelligence into driver monitoring to improve road safety through real-time engagement and personalized interaction.
Contribution
It introduces a novel framework combining robotics and AI for active driver monitoring, addressing current challenges and proposing innovative directions for future research.
Findings
Robotic systems can actively monitor and engage with drivers in real-time.
Integration of AI enhances detection of cognitive and emotional states.
Potential for personalized and adaptive driver safety interventions.
Abstract
The future of transportation is being shaped by technology, and one revolutionary step in improving road safety is the incorporation of robotic systems into driver monitoring infrastructure. This literature review explores the current landscape of driver monitoring systems, ranging from traditional physiological parameter monitoring to advanced technologies such as facial recognition to steering analysis. Exploring the challenges faced by existing systems, the review then investigates the integration of robots as intelligent entities within this framework. These robotic systems, equipped with artificial intelligence and sophisticated sensors, not only monitor but actively engage with the driver, addressing cognitive and emotional states in real-time. The synthesis of existing research reveals a dynamic interplay between human and machine, offering promising avenues for innovation in…
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Taxonomy
TopicsAutonomous Vehicle Technology and Safety · Vehicle License Plate Recognition · IoT and GPS-based Vehicle Safety Systems
