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RoNIN: Robust Neural Inertial Navigation
| Description: | Dataset and pre-trained models associated with publication Herath, S., Yan, H. and Furukawa, Y., 2020, May. RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods. In 2020 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3146-3152). IEEE. |
| Authors: | Herath, Sachini; Simon Fraser University;  0000-0003-2708-0509Furukawa, Yasutaka; Simon Fraser University Yan, Hang; Washington University in St. Louis |
| Keywords: | Inertial navigation Trajectory motion analysis neural nets neural inertial navigation data-driven inertial navigation research horizontal positions IMU sensor data ground-truth 3D trajectories natural human motions RoNIN relative trajectory body heading estimation body facing direction pretrained models IMU |
| Field of Research: | Computer and information sciences > Artificial intelligence (AI) > Computer vision in artificial intelligence
Computer and information sciences > Artificial intelligence (AI) > Intelligent robotics
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| Publication Date: | 2022-01-11 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | National Science Foundation (NSF); IIS 1618685 Natural Sciences and Engineering Research Council of Canada (NSERC); Discovery Grants Natural Sciences and Engineering Research Council of Canada (NSERC); Discovery Accelerator Supplements Department of National Defense (DND) and Natural Sciences and Engineering Research Council of Canada (NSERC); DND/NSERC Discovery Grant Supplements |
| URI: | https://doi.org/10.20383/102.0543 |
| Related Identifiers: |
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| Appears in Collections: | SFU Research Data |
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Access to this dataset is subject to the following terms:
The RoNIN data and RoNIN pre-trained models are made available under a custom license, for non-commercial and scientific research purposes. Please see the provided LICENSE.txt file for the full terms of use.
Citation
Herath, S., Furukawa, Y., Yan, H. (2022). RoNIN: Robust Neural Inertial Navigation. Federated Research Data Repository. https://doi.org/10.20383/102.0543
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