Non-sensing driving fatigue monitoring system and method based on beidou and multi-source sensors

By combining BeiDou navigation satellites with multi-source sensors to create a seamless driving fatigue monitoring system, the system leverages complementary multi-dimensional sensor information to overcome the limitations of existing fatigue assessment technologies. This enables early and accurate warnings and proactive protection, thereby enhancing driving safety and user experience.

CN122300516APending Publication Date: 2026-06-30SHANXI JILAN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
SHANXI JILAN TECH CO LTD
Filing Date
2026-04-01
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing driver fatigue monitoring technologies struggle to balance reliability, user acceptance, cost, and timely warnings. Direct monitoring methods are highly susceptible to environmental interference and offer a poor user experience, while indirect monitoring methods result in delayed warnings and fail to achieve early prevention.

Method used

A non-sensory driving fatigue monitoring system based on BeiDou and multi-source sensors is adopted. The system collects the driver's physiological behavior signals through the vehicle-mounted multimodal perception unit, obtains vehicle driving data by combining the BeiDou positioning and communication unit, calculates the environmental risk coefficient and basic fatigue score by the edge data fusion processing unit, and finally generates a comprehensive risk score. The system then executes graded warnings through the early warning and feedback unit.

Benefits of technology

It improves the robustness and intelligence of fatigue risk assessment, realizes early and accurate non-intrusive warnings, breaks through the blind spots of in-vehicle perception, reduces false alarm rate and enhances the active protection capability of driving safety, while also having good practicality and economy.

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Abstract

This invention provides a non-sensory driving fatigue monitoring system and method based on BeiDou and multi-source sensor data fusion, belonging to the field of vehicle safety early warning technology. The system includes: an on-board multimodal sensing unit, a BeiDou positioning and communication unit, an edge data fusion processing unit, and an early warning and feedback unit. This invention utilizes the on-board multimodal sensing unit and the BeiDou positioning and communication unit to acquire multi-source non-sensory data and vehicle driving data respectively. The edge data fusion processing unit calculates the environmental risk coefficient based on the vehicle driving data and extracts physiological behavioral feature vectors from the multi-source non-sensory data to calculate a basic fatigue score. Finally, it fuses the environmental risk coefficient and the basic fatigue score to calculate a comprehensive risk score. The early warning and feedback unit executes tiered early warning actions. This invention can accurately identify fatigue states at an early stage, exhibiting high robustness and intelligence, thus improving the proactive protection capabilities for driving safety.
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