1. A method for determining a state of health of an object detection fusion system, said method comprising: providing target data from a first object sensor and a second object sensor, where the target data from the object sensors is used by the fusion system to calculate fused object detection data; creating a context queue containing the target data from the object sensors, where the target data is arranged in sequential time frames which are stored in the context queue for a period of time defining a sliding time window; computing matching scores using the target data in the context queue, including computing a single-frame matching score for each of the sequential time frames of target data in the context queue, and computing a sequence matching score for all of the time frames in the sliding time window, where computing the single-frame matching score includes arranging the target data from the first object sensor and the target data from the second object sensor in matched pairs, counting a number of matched pairs, computing a center-to-center distance for each of the matched pairs, and identifying a number of unmatched objects from the first object sensor and the second object sensor, and the single-frame matching score is calculated as a function of the number of matched pairs, the center-to-center distance for each of the matched pairs, the number of unmatched objects from the first object sensor and the second object sensor, and penalty costs for the unmatched objects; and calculating, using a microprocessor, the state of health of the fusion system based on the matching scores.