Title :
New Technique for distance estimation using SIFT for mobile robots
Author :
Guzel, Mehmet Serdar ; Nattharith, Panus
Author_Institution :
Comput. Eng. Dept., Ankara Univ., Ankara, Turkey
Abstract :
This paper addresses a novel method to estimate distance for autonomous systems, using single monocular camera. The method in essence employs scale parameters obtained from SIFT (Scale Invariant Feature Transform) algorithm and a corresponding zooming factor as inputs to train a neural network which results in the determination of physical distance.
Keywords :
distance measurement; mobile robots; neurocontrollers; robot vision; transforms; SIFT; autonomous systems; distance estimation; mobile robots; neural network training; physical distance determination; scale invariant feature transform algorithm; single monocular camera; zooming factor; Artificial neural networks; Conferences; Image resolution; Navigation; Reliability; Distance estimation; Mobile robot; Neural Network; SIFT; Vision for navigation;
Conference_Titel :
Electrical Engineering Congress (iEECON), 2014 International
Conference_Location :
Chonburi
DOI :
10.1109/iEECON.2014.6925831
