{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gslam-a-general-slam-framework-and-benchmark","title":"GSLAM: A General SLAM Framework and Benchmark","arxiv_id":"1902.07995","date":"2019-02-21","proceeding":"ICCV 2019 10","authors":["Yong Zhao","Shibiao Xu","Shuhui Bu","Hongkai Jiang","Pengcheng Han"],"abstract":"SLAM technology has recently seen many successes and attracted the attention\nof high-technological companies. However, how to unify the interface of\nexisting or emerging algorithms, and effectively perform benchmark about the\nspeed, robustness and portability are still problems. In this paper, we propose\na novel SLAM platform named GSLAM, which not only provides evaluation\nfunctionality, but also supplies useful toolkit for researchers to quickly\ndevelop their own SLAM systems. The core contribution of GSLAM is an universal,\ncross-platform and full open-source SLAM interface for both research and\ncommercial usage, which is aimed to handle interactions with input dataset,\nSLAM implementation, visualization and applications in an unified framework.\nThrough this platform, users can implement their own functions for better\nperformance with plugin form and further boost the application to practical\nusage of the SLAM.","url_abs":"http://arxiv.org/abs/1902.07995v1","url_pdf":"http://arxiv.org/pdf/1902.07995v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"gslam-a-general-slam-framework-and-benchmark","repo_url":"https://github.com/zdzhaoyong/GSLAM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"simultaneous-localization-and-mapping","task_name":"Simultaneous Localization and Mapping"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.07995","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}