The invention discloses a vehicle
light control method. The method comprises the steps of obtaining driving behavior multi-
modal data; based on the driving behavior multi-
modal data,
state recognition is carried out through a pre-trained
deep learning model, and a state
evaluation result of the driver is obtained; generating a
light control strategy according to the state
evaluation result; and controlling at least one optical parameter of the in-vehicle
lighting system through the lighting control strategy. According to the method, the driving behavior multi-
modal data are fused and processed, the pre-trained
deep learning model is utilized to perform comprehensive analysis, the state of the driver is judged, the physiological fatigue state and the psychological emotion state of the driver are evaluated, and the
light control strategy is generated based on the
evaluation result. According to the method, passive
ambient lighting can be converted into active intervention, intervention is carried out in time through scientifically verified optical parameter adjustment when a driver is in the early stage of fatigue or
mood tension, fatigue is effectively relieved, the
mood is pacified, and therefore the
driving safety is improved.