This thesis researches on mainly two aspects, obstacle-avoiding of mobile robot in real-time and the kalman filtering prediction of the state of obstacles in dynamic uncertain environments.
本文的研究工作主要是针对动态不确定环境下，移动机器人的实时动态避障和对障碍物状态信息的卡尔曼滤波预测两个方面的研究展开的。
This thesis researches on mainly two aspects, obstacle-avoiding of mobile robot in real-time and the kalman filtering prediction of the state of obstacles in dynamic uncertain environments.
本文的研究工作主要是针对动态不确定环境下，移动机器人的实时动态避障和对障碍物状态信息的卡尔曼滤波预测两个方面的研究展开的。
应用推荐