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Deepware: An Open-Source Toolkit for Developing and Evaluating Learning-Based and Model-Based Autonomous Driving Models

Deepware is the Deep Learning-based Autonomous Driving Toolkit, mainly focuses on end-to-end and middle-to-middle driving. Deepware is used ROS, Tensorflow, Autoware, Docker and CARLA. Deepware is provided automatic data collector, data extractor, data augmenter, model trainer and driving agents.

pipeline

Related works

Install

Modules

Road map

Dataset

Models

  • Pre-trained model is available in Google Drive
  • It is splitted in model.aa to model.al. the files should be combined to model.zip.

Citing Deepware

If you use Deepware in your work, please cite the paper of IEEE Access:

@ARTICLE{9911616,
  author={Seiya, Shunya and Carballo, Alexander and Takeuchi, Eijiro and Takeda, Kazuya},
  journal={IEEE Access}, 
  title={Deepware: An Open-Source Toolkit for Developing and Evaluating Learning-Based and Model-Based Autonomous Driving Models}, 
  year={2022},
  volume={10},
  number={},
  pages={105734-105743},
  doi={10.1109/ACCESS.2022.3212152}}