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

Published: 12 Sep 2019 | Version 1 | DOI: 10.17632/pz3t28jdt6.1
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Description of this data

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.

Experiment data files

This data is associated with the following publication:

Double-DQN based path smoothing and tracking control method for robotic vehicle navigation

Published in: Computers and Electronics in Agriculture

Latest version

  • Version 1

    2019-09-12

    Published: 2019-09-12

    DOI: 10.17632/pz3t28jdt6.1

    Cite this dataset

    Tang, Lie; ding, youchun; Gai, Jingao; qingxi, liao; zhang, wenyu; Zhang, Zhigang (2019), “Data for: Double-DQN based path smoothing and tracking control method for in-field robotic vehicle navigation”, Mendeley Data, v1 http://dx.doi.org/10.17632/pz3t28jdt6.1

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Categories

Navigation, AUV Control

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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