New Technique for distance estimation using SIFT for mobile robots

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.