篇名 | An Application Oriented Self-adaptive SLAM System for Mobile Robots |
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卷期 | 28:5 |
作者 | Lin-Jun Li 、 Yi-An Zhou |
頁次 | 316-326 |
關鍵字 | feature based SLAM 、 machine vision 、 optimization 、 robotics 、 EI 、 MEDLINE 、 Scopus |
出刊日期 | 201710 |
DOI | 10.3966/199115992017102805027 |
Since more and more applications such as automatic drive and tasks for quadcopters rely on real-time Simultaneous Localization and Mapping system, it’s necessary to adjust the algorithm to adapt to real time tasks. Based on feature based methods like ORB SLAM, we try to propose an approach to further enhance efficiency by speed self-adaptive key frame and key feature point selection, which contributes to decrease workload on hardware system, simplifies the procedure of parameter calibration and improve robustness of the whole system.