An approach to object recognition using CTFM sensing
An approach to recognizing two objects using CTFM ultrasonics is discussed in this paper. Extracting features from each object echoes power spectral density is detailed, and a method of object recognition using feature vectors and the Mahalanobis distance is presented. The results of this research indicate that it is possible to recognize simple geometry objects like a table and chair, which produce little information in their echoes. It is also possible to differentiate between varying perspectives of the same object.