Intelligent headlamp adaptive control method and system based on multi-modal data fusion

The multi-modal data fusion approach in automobile lighting systems addresses precision and safety issues by integrating GPS, IMU, and V2X communication for adaptive lighting control, ensuring smooth transitions and enhanced driver comfort.

CN120307993APending Publication Date: 2025-07-15RIVOTEK TECH (JIANGSU) CO LTD
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Patent Information

Application Number
CN202510628700.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-15
Publication Date
2025-07-15

AI Technical Summary

Technical Problem

The existing automotive lighting control system has low distance calculation accuracy in high-speed scenarios, resulting in improper control timing and safety hazards. The simple lighting control can easily cause drivers' eye discomfort.

Method used

The intelligent headlight adaptive control method using multimodal data fusion is adopted, and GPS and IMU data are fused through the ESKF algorithm to correct the vehicle pose vector in real time, combine V2X communication to obtain tunnel or garage feature points, and improve Euclidean distance calculation and introduce speed adaptive compensation coefficients to achieve progressive and brightness attenuation control.

Benefits of technology

It improves vehicle positioning accuracy, reduces distance calculation errors, avoids the risk of miscontrolled headlights in the car, and improves driving safety and comfort.

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Abstract

The invention relates to the technical field of automobile driving, and particularly discloses an intelligent headlamp self-adaptive control method and system based on multi-modal data fusion. The method comprises the following steps: acquiring an ambient light value outside a vehicle and a vehicle pose vector in real time; requesting a road side unit to obtain a tunnel or garage feature point set based on the ambient light value through an Internet of vehicles V2X communication protocol; based on the vehicle pose vector and the tunnel or garage feature point set, calculating a relative distance D by using an improved Euclidean distance, introducing a speed-adaptive distance compensation coefficient, and generating a corrected distance D '; the corrected distance D'is compared with a first preset early warning distance threshold K1 and a second preset early warning distance threshold K2, and if D 'is smaller than or equal to K1, a progressive lighting scheme is started; and if D 'is greater than or equal to K2, starting a light brightness attenuation scheme. The invention aims to provide a high-precision and safe mode, so that the self-adaptive control of the automobile headlamp is closer to the actual driving requirement of the automobile.
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