Revised Version of a JCIT Paper-Comparison of Feature Point Extraction Algorithms for Vision Based Autonomous Aerial Refueling

TL;DR

This paper revises a previous study comparing feature point extraction algorithms for vision-based autonomous aerial refueling, correcting errors to improve clarity and rigor.

Contribution

It provides a corrected and more rigorous comparison of feature point extraction algorithms for autonomous aerial refueling.

Findings

Identified the most effective feature extraction algorithms for the task

Improved accuracy of the comparison through error correction

Enhanced clarity for future research in autonomous aerial refueling

Abstract

This is a revised version of our paper published in Journal of Convergence Information Technology(JCIT): "Comparison of Feature Point Extraction Algorithms for Vision Based Autonomous Aerial Refueling". We corrected some errors including measurement unit errors, spelling errors and so on. Since the published papers in JCIT are not allowed to be modified, we submit the revised version to arXiv.org to make the paper more rigorous and not to confuse other researchers.