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[1] Improved Information Fusion for Agricultural Machinery Navigation Based on Context-Constrained Kalman Filter and Dual-Antenna RTK
[2] 基于动态路径搜索的农机自动驾驶软件系统研制
[3] Robust Attitude Estimation for Low-Dynamic Vehicles Based on MEMS-IMU and External Acceleration Compensation
[4] 高斯过程改进的鲁棒容积卡尔曼滤波及其组合导航应用
[5] 基于模糊Stanley模型的农机全田块路径跟踪算法研究
[6] Observability-Constrained Resampling-Free Cubature Kalman Filter for GNSS/INS with Measurement Outliers
[7] 水稻全田块无人收获作业自动打点系统设计与试验
[8] Deep Learning-driven Automatic Estimation of Smartphone Installation Angles for Vehicle Navigation
[9] The Full-Field Path Tracking of Agricultural Machinery Based on PSO-Enhanced Fuzzy Stanley Model
[10] 几何路径跟踪组合算法及其农业机械自动导航应用
[11] Improved high-degree cubature Kalman filter based on resampling-free sigma-point update framework and its application for inertial navigation system-based integrated navigation
[12] Performance Enhancement of Robust Cubature Kalman Filter for GNSS/INS Based on Gaussian Process Quadrature
[13] On sigma-point update of cubature Kalman filter for GNSS/INS under GNSS-challenged environment
[14] Robust cubature Kalman filter based on variational Bayesian and transformed posterior sigma points error
[15]Lin,Jinyang,Li,Xiyuan,Chen,Xinhua,Wei. On sigma-point update of cubature Kalman filter for GNSS/INS under GNSS-chanllenged environment [Journal Paper]. IEEE Transactions on Vehicular Technology, 2019, 68(9): 8671-8682
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