RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods 来自 Semantic Scholar 喜欢 0 阅读量: 417 作者:H Yan,S Herath,Y Furukawa 摘要: This paper sets a new foundation for data-driven inertial navigation research, where the task is the estimation of ...
1The models are trained on the entire dataset Please cite the following paper is you use the code, paper or data: 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...
[1]代码:rnin-vio [2]D. Chen, N. Wang, R. Xu, W. Xie, H. Bao and G. Zhang, "RNIN-VIO: Robust Neural Inertial Navigation Aided Visual-Inertial Odometry in Challenging Scenes,"2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bari, Italy, 2021, pp. 275-283...
on the lack of robust interpretability of neural text classifiers [Paper] supervised machine learning for extractive query based ... [Paper] robust benchmarking for machine learning of clinical entity ... [Paper] feature robustness in non-stationary health records: [Paper] just train twice:...
RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, & New Methods. In Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 31 May–1 August 2020; pp. 3146–3152. [Google Scholar] Liu, W.; Caruso, D.; Ilg, E....
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The proposed artificial neural inference fuzzy system outperformed the approaches that rely on varying the of boundary the SMC in eliminating the effects of external disturbances. A regression FSMC approach was proposed in [21]. To control a non-holonomic differential robot in the presence of model...
[17] proposed a neural network to estimate the target position, as well as a PID controller to track it and perform landing, and validated it with a Parrot AR.Drone quadcopter. Finally, Yang et al. [18] developed a complete UAV autonomous landing system using a hybrid camera array (fish...
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on the lack of robust interpretability of neural text classifiers [Paper] supervised machine learning for extractive query based ... [Paper] robust benchmarking for machine learning of clinical entity ... [Paper] feature robustness in non-stationary health records: [Paper] just train twice:...