README.md

Planning

Here're some resources about Planning

Intros:

• This directory comprises methodologies of Planning module, deciding the best course of action for a vehicle to take in a given situation, which could include path planning, trajectory planning, and maneuver planning, among others.

Table of Contents

• Graph-based methods
• Sampling-based methods
• ML-based methods

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Survey of deep reinforcement learning for motion planning of autonomous vehicles

paper link: here

citation:

@misc{aradi2020survey,
      title={Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles}, 
      author={Szilárd Aradi},
      year={2020},
      eprint={2001.11231},
      archivePrefix={arXiv},
      primaryClass={id='cs.LG' full_name='Machine Learning' is_active=True alt_name=None in_archive='cs' is_general=False description='Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods.'}
}

An investigation of model-free planning

paper link: here

citation:

@inproceedings{guez2019investigation,
  title={An investigation of model-free planning},
  author={Guez, Arthur and Mirza, Mehdi and Gregor, Karol and Kabra, Rishabh and Racani{\`e}re, S{\'e}bastien and Weber, Th{\'e}ophane and Raposo, David and Santoro, Adam and Orseau, Laurent and Eccles, Tom and others},
  booktitle={International Conference on Machine Learning},
  pages={2464--2473},
  year={2019},
  organization={PMLR}
}

A review of motion planning techniques for automated vehicles

paper link: here

citation:

@article{gonzalez2015review,
  title={A review of motion planning techniques for automated vehicles},
  author={Gonz{\'a}lez, David and P{\'e}rez, Joshu{\'e} and Milan{\'e}s, Vicente and Nashashibi, Fawzi},
  journal={IEEE Transactions on intelligent transportation systems},
  volume={17},
  number={4},
  pages={1135--1145},
  year={2015},
  publisher={IEEE}
}

Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

paper link: here

citation:

@article{katrakazas2015real,
  title={Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions},
  author={Katrakazas, Christos and Quddus, Mohammed and Chen, Wen-Hua and Deka, Lipika},
  journal={Transportation Research Part C: Emerging Technologies},
  volume={60},
  pages={416--442},
  year={2015},
  publisher={Elsevier}
}