Abstract: The present disclosure provides a method for analyzing an error and an existence probability of a multi-sensor fusion. The method includes the ab obstacle sensing step, an obstacle predicting step, an error-model providing step, an existence-probability step, a tracking and fusing step and an error accumulating and correcting step. Therefore, by using the method, a plurality of fused obstacle datasets can be obtained, and an accumulation of error variations thereof can be corrected, which can improve the reliability for judging whether the obstacle exist or not.

Abstract: The present disclosure provides a method for analyzing an error and an existence probability of a multi-sensor fusion. The method includes the ab obstacle sensing step, an obstacle predicting step, an error-model providing step, an existence-probability step, a tracking and fusing step and an error accumulating and correcting step. Therefore, by using the method, a plurality of fused obstacle datasets can be obtained, and an accumulation of error variations thereof can be corrected, which can improve the reliability for judging whether the obstacle exist or not.