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.
@article{arxiv.1910.01122,
title = {OpenVSLAM: A Versatile Visual SLAM Framework},
author = {Shinya Sumikura and Mikiya Shibuya and Ken Sakurada},
journal= {arXiv preprint arXiv:1910.01122},
year = {2023}
}