对虚拟环境中微加速度传感器建模及拟实运行进行了研究。
Modeling and virtual working of micro accelerometer in virtual environment is discussed in this paper.
介绍了基于RBF神经网络的传感器建模新方法，其网络结构简单、收敛性好。
In this paper, a new approach to sensor modeling based on RBF neural network is described. The construction of the neural network is simple and astringency is effective.
Gazebo不但可以对标准的机器人传感器(例如惯性度量单元、GPS接收器和单筒相机)进行建模，而且还可以对机器人环境中使用的真实固形体物理部件进行建模。
Gazebo models not only standard robot sensors (such as inertial measurement units, GPS receivers, and monocular cameras) but also real-world rigid-body physics for robotic environments.
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