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Öğe Robot localization in RGB-D images using PCA and CNN(Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022) Taha, Alwaled Khalid; Cansever, GalipHuman beings have always utilized the resources available to them as tools to assist them in completing activities in the most efficient, timely, and safe manner possible. As technology improves, these instruments are incorporated into more sophisticated machines capable of doing difficult tasks accurately and often better than a person could. In this research, we will demonstrate how to accomplish a robust robot localization by reducing three-dimensional photos to two-dimensional images using the PCA technique and then using CNN to extract and classify the images' features.Öğe Robot localization in RGB-D images using PCA and CNN(IEEE, 2021) Taha, Alwaled Khalid; Cansever, GalipHuman beings have always used the resources at their disposal as tools to help carry out tasks in the most effective, fast and safe way. As technology advances, these tools are being used in increasingly complex machinery capable of performing complicated jobs precisely and often better than a human could have in this paper we aim at performing a robust robot localization by reducing the 3d images into 2d images using PCA algorithm and using CNN for feature extraction and classification of the images.
