[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...
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 ...
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....
Inertial navigationData fusionRobust Kalman FilterNAR Neural NetworkInertial navigation is an edge computing-based method for determining the position and orientation of a moving vehicle that operates according to Newton's laws of motion on which all the computations are performed at the edge level ...
Inertial Navigation System KF: Kalman Filter EKF: Extended Kalman Filter UKF: Unscented Kalman Filter RKF: Robust Kalman Filter ANN: Artificial neural network MLP: Multilayer Perceptron RBF: Radial Basis Function ANFIS: Adaptive Neuro-Fuzzy Inference Network ECEF: Earth Centered Earth Fixe...
towards robust neural machine translation - acl anthology [Paper] trainable, scalable summarization using ... - acl anthology [Paper] learning robust representations of text - acl anthology [Paper] robust learning, smoothing, and parameter tying on ... [Paper] robust machine reading comprehens...
A robust inertial navigation would be an ultimate anytime anywhere navigation system. Unfortunately, the current state-of-the-art suffers from severe limitations. First, IMU double integration does not work unless one uses a million dollar 4 Project website: https://yanhangpublic.github.io/ridi ...
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2019-12-11 21:25 − ### 1. 摘要 >作者提出了一系列应用于移动和嵌入式视觉的称之为 MobileNets 的高效模型,这些模型采用深度可分离卷积来构建轻量级网络。 >作者还引入了两个简单的全局超参数来有效地权衡时延和准确率,以便...
Li Z, Wang J, Li B, Gao J, Tan X (2014) GPS/INS/Odometer integrated system using fuzzy neural network for land vehicle navigation applications. J Navig 67(6):967–983 Article Google Scholar Niu X, Nassar S, El-Sheimy N (2007) An accurate land-vehicle MEMS IMU/GPS navigation system...
In ACADP structure, the critic neural network is trained to appraise the performance of the current control policy, which is composited of actor control policy and TDC control policy. In our design, the proposed control signal (AC-TDC) is generated by the sum of the TDC and the ACADP ...