KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments

Yanran Wang, James O'Keeffe, Qiuchen Qian, David E. Boyle. KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments. In 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022. pages 11036-11043, IEEE, 2022. [doi]

@inproceedings{WangOQB22,
  title = {KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments},
  author = {Yanran Wang and James O'Keeffe and Qiuchen Qian and David E. Boyle},
  year = {2022},
  doi = {10.1109/ICRA46639.2022.9812352},
  url = {https://doi.org/10.1109/ICRA46639.2022.9812352},
  researchr = {https://researchr.org/publication/WangOQB22},
  cites = {0},
  citedby = {0},
  pages = {11036-11043},
  booktitle = {2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-9681-7},
}