Stereovision-based localization for ball-shaped robot

Abstract

An approach based on stereovision is proposed for ball-shaped robot localization.Shi-Tomasi detector,scale invariant feature transform(SIFT) descriptor and KLT tracker are used to extract and track the features from image sequence taken by a stereo camera.Euclidean distance between SIFT descriptors of features in both images is computed for stereo matching.An efficient closed-form method is adopted to estimate the frame-to-frame incremental motion in real time.Moreover,additional techniques,including bucketing of features,RANSAC based outlier rejection and Kalman filtering,are applied to improve accuracy and robustness of the estimated motion.The experimental results demonstrate the feasibility of the proposed stereovision-based localization.