A Reinforcement Learning approach for pedestrian collision avoidance and trajectory tracking in autonomous driving systems

Luigi Russo, Mario Terlizzi, Massimo Tipaldi, Luigi Glielmo. A Reinforcement Learning approach for pedestrian collision avoidance and trajectory tracking in autonomous driving systems. In 5th International Conference on Control and Fault-Tolerant Systems, SysTol 2021, Saint-Raphael, France, September 29 - Oct. 1, 2021. pages 44-49, IEEE, 2021. [doi]

@inproceedings{RussoTTG21,
  title = {A Reinforcement Learning approach for pedestrian collision avoidance and trajectory tracking in autonomous driving systems},
  author = {Luigi Russo and Mario Terlizzi and Massimo Tipaldi and Luigi Glielmo},
  year = {2021},
  doi = {10.1109/SysTol52990.2021.9595150},
  url = {https://doi.org/10.1109/SysTol52990.2021.9595150},
  researchr = {https://researchr.org/publication/RussoTTG21},
  cites = {0},
  citedby = {0},
  pages = {44-49},
  booktitle = {5th International Conference on Control and Fault-Tolerant Systems, SysTol 2021, Saint-Raphael, France, September 29 - Oct. 1, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3159-0},
}