【2018.11】无人机多传感器导航的非线性卡尔曼滤波Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles，共254页。
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本书涵盖了微型无人机运动状态估计的研究方法。
Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles covers state estimation development approaches for Mini-UAV.
该书主要讲述无人机设计的卡尔曼滤波技术，提出了新的设计方法和与无人机惯性导航系统有关的案例研究。
The book focuses on Kalman filtering technics for UAV design, proposing a new design methodology and case study related to inertial navigation systems for drones.
书中给出了仿真和实验结果，展示了新的、有前途的应用前景。
Both simulation and real experiment results are presented, thus showing new and promising perspectives.
给出了一种小型无人机的状态估计方法
解释了卡尔曼滤波技术
介绍了一种无人飞行器的新设计方法
介绍了无人机惯性导航系统实例
Gives a state estimation development approach for mini-UAVs
Explains Kalman filtering techniques
Introduce a new design method for unmanned aerial vehicles
Introduce cases relating to the inertial navigation system of drones
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