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

Published: 12 September 2019| Version 1 | DOI: 10.17632/pz3t28jdt6.1
Lie Tang, youchun ding, Jingao Gai, liao qingxi, wenyu zhang, Zhigang Zhang


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.



Navigation, AUV Control