{"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/ronin-robust-neural-inertial-navigation-in","title":"RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods","arxiv_id":"1905.12853","date":"2019-05-30","proceeding":null,"authors":["Hang Yan","Sachini Herath","Yasutaka Furukawa"],"abstract":"This paper sets a new foundation for data-driven inertial navigation research, where the task is the estimation of positions and orientations of a moving subject from a sequence of IMU sensor measurements. More concretely, the paper presents 1) a new benchmark containing more than 40 hours of IMU sensor data from 100 human subjects with ground-truth 3D trajectories under natural human motions; 2) novel neural inertial navigation architectures, making significant improvements for challenging motion cases; and 3) qualitative and quantitative evaluations of the competing methods over three inertial navigation benchmarks. We will share the code and data to promote further research.","url_abs":"https://arxiv.org/abs/1905.12853v1","url_pdf":"https://arxiv.org/pdf/1905.12853v1.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":"ronin-robust-neural-inertial-navigation-in","repo_url":"https://github.com/Sachini/ronin","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"ronin-robust-neural-inertial-navigation-in","repo_url":"https://github.com/nowtechnologies/ros-melodic-ronin-py","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"ronin-robust-neural-inertial-navigation-in","repo_url":"https://github.com/BehnamZeinali/IMUNet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"ronin","name":"RONIN","full_name":"Robust Neural Inertial Navigation"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1905.12853","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}