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An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

机译：基于区间卡尔曼滤波的模糊多传感器融合方法在自动水面航行器航向估计中的应用

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Motwani A; Liu W; Sharma S; Sutton R; Bucknall R;
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年度 2016
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1. An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle [J] . Motwani Amit, Liu Wenwen, Sharma Sanjay, Proceedings of the Institution of Mechanical Engineers, Part M. Journal of Engineering for the Maritime Environment . 2016,第3期

机译：基于区间卡尔曼滤波的模糊多传感器融合方法在自动水面航行器航向估计中的应用
2. Toward reducing failure risk in an integrated vehicle health maintenance system:A fuzzy multi-sensor data fusion Kalman filter approach for IVHMS [J] . James A. Rodger Expert Systems with Application . 2012,第10期

机译：降低集成车辆健康维护系统中的故障风险：IVHMS的模糊多传感器数据融合卡尔曼滤波方法
3. Multi-sensor fusion approach based on nonlinear H_∞ filter with interval type 2 fuzzy adaptive parameters tuning for unmanned vehicle localization [J] . Outamazirt Fariz, Djaidja Djabir, Boudjimar Chouaib, Journal of Systems and Control Engineering . 2021,第6期

机译：基于非线性H_∞过滤器的多传感器融合方法，具有间隔类型2模糊自适应参数调整，用于无人驾驶车辆定位
4. Heading plane Control of an Autonomous Underwater Vehicle: A novel Fuzzy and Model Reference Adaptive Control Approach [C] . Narayan Nayak, Pranati Das, Soumya Ranjan Das International Conference on Advances in Electronics, Computers and Communications . 2020

机译：自主水下车辆的前线平面控制：一种新型模糊和模型参考自适应控制方法
5. Analysis of application of extended Kalman filter (EKF) and fuzzy decision to multi-sensor data fusion system. [D] . Dakhlallah, Tarek K. 2012

机译：扩展卡尔曼滤波器（EKF）和模糊决策在多传感器数据融合系统中的应用分析。
6. Quaternion-Based Unscented Kalman Filter for Accurate Indoor Heading Estimation Using Wearable Multi-Sensor System [O] . Xuebing Yuan, Shuai Yu, Shengzhi Zhang, 2015

机译：基于四元数的无味卡尔曼滤波器可穿戴式多传感器系统用于精确的室内航向估计
7. SENSOR FUSION USING FUZZY LOGIC ENHANCED KALMAN FILTER FOR AUTONOMOUS VEHICLE GUIDANCE IN CITRUS GROVES [O] . V. Subramanian, T. F. Burks, W. E. Dixon 2015

机译：利用模糊逻辑增强卡尔曼滤波器对柑橘叶片自主车辆导向进行传感器融合

An interval Kalman filter-based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

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