文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 An Application Oriented Self-adaptive SLAM System for Mobile Robots
卷期 28:5
作者 Lin-Jun LiYi-An Zhou
頁次 316-326
關鍵字 feature based SLAMmachine visionoptimizationroboticsEIMEDLINEScopus
出刊日期 201710
DOI 10.3966/199115992017102805027

中文摘要

英文摘要

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.

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