A data fusion method for vehicle sensors, characterized by comprising: reading a parameter attribute set for each target detected by the sensors arranged on a vehicle, the parameter attribute set at least comprising one or more of the following types: a longitudinal speed, a longitudinal distance, and a lateral distance; generating attribute combinations of the read parameter attribute set of each target detected by each of the sensors, each attribute combination comprising a parameter attribute set of one target selected respectively from one or more targets detected by the sensors, wherein the number of the generated attribute combinations is the product of respective numbers of targets detected by each sensor; and determining a coincidence degree of the parameter attribute sets in each attribute combination, and performing data fusion based on the coincidence degree to obtain a first data fusion list, wherein the first data fusion list comprises a coincidence degree of each attribute combination and one or more parameter attribute sets corresponding to the coincidence degree of each attribute combination, and wherein the coincidence degree refers to the number of parameter attribute sets corresponding to a same target in the attribute combination; wherein, determining the coincidence degree of the parameter attribute sets in each attribute combination comprises executing the following steps for each attribute combination: calculating a discrete degree of n parameter attributes for each same type in n parameter attribute sets in the attribute combination, respectively; determining whether the discrete degree of the n parameter attributes for each same type is within a corresponding predetermined range; if the discrete degree of n parameter attributes for each same type is within the corresponding predetermined range, determining the coincidence degree of the parameter attribute sets in the attribute combination to be n; and if the discrete degree of the n parameter attributes for each same type is not within the corresponding predetermined range, determining the coincidence degree of the parameter attribute sets in the attribute combination to be 1, wherein n is a positive integer, and a value of n is greater than or equal to 2 and less than or equal to the number of parameter attribute sets of targets in the attribute combination. reading a parameter attribute set for each target detected by the sensors arranged on a vehicle, the parameter attribute set at least comprising one or more of the following types: a longitudinal speed, a longitudinal distance, and a lateral distance; generating attribute combinations of the read parameter attribute set of each target detected by each of the sensors, each attribute combination comprising a parameter attribute set of one target selected respectively from one or more targets detected by the sensors, wherein the number of the generated attribute combinations is the product of respective numbers of targets detected by each sensor; and determining a coincidence degree of the parameter attribute sets in each attribute combination, and performing data fusion based on the coincidence degree to obtain a first data fusion list, wherein the first data fusion list comprises a coincidence degree of each attribute combination and one or more parameter attribute sets corresponding to the coincidence degree of each attribute combination, and wherein the coincidence degree refers to the number of parameter attribute sets corresponding to a same target in the attribute combination; wherein, determining the coincidence degree of the parameter attribute sets in each attribute combination comprises executing the following steps for each attribute combination: calculating a discrete degree of n parameter attributes for each same type in n parameter attribute sets in the attribute combination, respectively; determining whether the discrete degree of the n parameter attributes for each same type is within a corresponding predetermined range; if the discrete degree of n parameter attributes for each same type is within the corresponding predetermined range, determining the coincidence degree of the parameter attribute sets in the attribute combination to be n; and if the discrete degree of the n parameter attributes for each same type is not within the corresponding predetermined range, determining the coincidence degree of the parameter attribute sets in the attribute combination to be 1, wherein n is a positive integer, and a value of n is greater than or equal to 2 and less than or equal to the number of parameter attribute sets of targets in the attribute combination. calculating a discrete degree of n parameter attributes for each same type in n parameter attribute sets in the attribute combination, respectively; determining whether the discrete degree of the n parameter attributes for each same type is within a corresponding predetermined range; if the discrete degree of n parameter attributes for each same type is within the corresponding predetermined range, determining the coincidence degree of the parameter attribute sets in the attribute combination to be n; and if the discrete degree of the n parameter attributes for each same type is not within the corresponding predetermined range, determining the coincidence degree of the parameter attribute sets in the attribute combination to be 1, wherein n is a positive integer, and a value of n is greater than or equal to 2 and less than or equal to the number of parameter attribute sets of targets in the attribute combination.