OpenVSLAM：一个通用的视觉SLAM框架
OpenVSLAM: A Versatile Visual SLAM Framework
AI总结：
本文提出了OpenVSLAM，一个高可用性和可扩展的视觉SLAM框架，解决了传统开源框架难以被第三方程序调用的问题，并集成了多项便于研发的实用特性与功能。
摘要：
本文介绍了OpenVSLAM，一个具有高可用性和可扩展性的视觉SLAM框架。视觉SLAM系统对AR设备、机器人和无人机的自主控制等至关重要。然而，传统的开源视觉SLAM框架并未被适当地设计为可被第三方程序调用的库。为克服这一情况，我们开发了一个新颖的视觉SLAM框架。该软件易于使用和扩展，并集成了多项用于研发的实用特性与功能。
英文摘要：
In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and extensibility. Visual SLAM systems are essential for AR devices, autonomous control of robots and drones, etc. However, conventional open-source visual SLAM frameworks are not appropriately designed as libraries called from third-party programs. To overcome this situation, we have developed a novel visual SLAM framework. This software is designed to be easily used and extended. It incorporates several useful features and functions for research and development.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
