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Data for: Double-DQN based path smoothing and tracking control method for in-field robotic vehicle navigation

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Mendeley Data2024-06-25 更新2024-06-26 收录
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The experiment was carried out on grassland on Iowa State University campus. During the data collection, the rover was driven by the navigation control application, which tracked the preset paths and stopped the rover at the end of the paths. The rover position for the robot was recorded by the application at a sampling rate of 30Hz.
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2024-01-23
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