本发明涉及路径规划技术领域,涉及一种融合堆叠LSTM与SAC算法的路径规划方法及系统,方法包括:一,收集常规场景图像及深度场景图像,并设计卷积神经网络提取图像特征;二,收集目标点,障碍物的位置信息,计算移动机器人与目标点,障碍物的距离;三,构建堆叠LSTM网络,将提取到的卷积特征,目标点的位置,上一时刻移动机器人的线...
SAC-LSTM This is a Pytorch implementation of SAC-LSTM, a recurrent model for radar echo extrapolation (precipitation nowcasting). Our implementation code in MindSpore is available athttps://github.com/LeiShe1/SAC-LSTM-MindSpore. Setup Required python libraries: torch (>=1.3.0) + opencv + numpy...
SAC-LSTM This is a MindSpore implementation of SAC-LSTM, a recurrent model for radar echo extrapolation (precipitation nowcasting). Our implementation code in Pytorch is available at https://github.com/LeiShe1/SAC-LSTM. Setup Required python libraries: MindSpore==1.8.0 cann==5.1.2 python==3.7...
Based on the SAC-LSTM framework, a motion model for the Turtlebot3 mobile robot was established by designing the state space, action space, reward function, and overall planning process. Three simulation experiments were conducted in obstacle-free, static obstacle, and dynamic obstacle e...
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In addition, in order to solve the problem of non-stability and uncertainty of the input state in the dynamic environment, which leads to the inability to fully express the state information, we propose an attention network fused with Long Short-Term Memory (LSTM) to improve the SAC algorithm...
In addition, in order to solve the problem of non-stability and uncertainty of the input state in the dynamic environment, which leads to the inability to fully express the state information, we propose an attention network fused with Long Short-Term Memory (LSTM) to improve the SAC algorithm...
SAC-LSTM This is a Pytorch implementation of SAC-LSTM, a recurrent model for radar echo extrapolation (precipitation nowcasting). Our implementation code in MindSpore is available at https://github.com/LeiShe1/SAC-LSTM-MindSpore. Setup Required python libraries: torch (>=1.3.0) + opencv + num...