The invention relates to a vehicle
warning tone dynamic adjustment method and
system based on multi-dimensional
perception. According to the method, environment data are acquired, a multi-dimensional
feature matrix is constructed, scene classification labels and
sound field coverage parameters are analyzed based on the matrix, then an acoustic
physical model is called to generate an environment self-adaptive acoustic parameter group,
pedestrian behavior prediction and regional voice features are fused to implement multi-
modal optimization on acoustic parameters to generate a prompt tone template, and the prompt tone is obtained. A
directional sound field
signal is synthesized through a beam forming technology,
pedestrian response data is collected, finally, a parameter mapping rule and an acoustic
physical model are continuously updated based on feedback information, a technical path of
environmental perception, dynamic parameter adjustment, directional output and closed-
loop optimization is formed, the self-
adaptive capacity of the prompt tone
system to complex traffic scenes is achieved, and the prompt tone
system has a wide application prospect. While the warning effectiveness is guaranteed, the environmental interference is reduced, different regional cultural characteristics and
pedestrian perception characteristics are considered, and the safety and environmental friendliness of human-vehicle interaction are integrally improved.