a method for quantifying classification confidence of obstructions applied to a perception mergence system of a vehicular computer in a vehicle . the method includes steps of : the vehicular computer receiving obstruction information of at least obstruction , image information corresponding to the obstruction information and vehicle body signals , and using a classifier to classify them ; calculating a detection result of each range sensor to calculate a existence confidence ; using the existence confidences and precision of the classifier to calculate a classification belief assignment of each range sensor corresponding to each obstruction ; performing mergence calculation on the classification belief assignments to respectively quantify an obstruction classification confidence of all the range sensor corresponding to each obstruction ; and performing a classification ineffectiveness filtering mechanism to exclude the obstruction whose obstruction classification confidence less than a predetermined value . the present invention quantifies the obstruction classification confidence to improve the classification precision .