Path Planning Using Deep Learning
Data
data_2.zip and data_3.zip contains 2D and 3D data used for training and testing, respectively.
Trained Models
results_2.zip and results_3.zip folder contains learned network models for 2D and 3D case trained on different grid sizes, respectively.
Source Code
src.zip contains Python scripts for training (train_path_...) and testing (predict_path_...) network models for 2D and 3D case, respectively. After training the model will be saved in HF5 file format which later can be used for the path prediction.
Path Planning Examples
2D path planning:
Examples of network predictions for single- and multi-path planning. Networks were trained and tested on the same grid size. Note that in case of multi-path planning the network was only trained on single paths.
3D path planning:
Examples of network predictions for single-path planning. Networks were trained and tested on the same grid size.
Note that below we only show nine examples for each case whereas each
ZIP file contains 2000 and 1000 examples for a single- path and
multi-path planning, respectively.
2D Maze:
3D Maze:
Computational Neuroscience Group
