Model-Based Decision Making With Imagination for Autonomous Parking

@article{Feng2018ModelBasedDM,
  title={Model-Based Decision Making With Imagination for Autonomous Parking},
  author={Ziyue Feng and Shi-tao Chen and Yu Chen and Nanning Zheng},
  journal={2018 IEEE Intelligent Vehicles Symposium (IV)},
  year={2018},
  pages={2216-2223}
}
Autonomous parking technology is a key concept within autonomous driving research. This paper will propose an imaginative autonomous parking algorithm to solve issues concerned with parking. The proposed algorithm consists of three parts: an imaginative model for anticipating results before parking, an improved rapid-exploring random tree (RRT) for planning a feasible trajectory from a given start point to a parking lot, and a path smoothing module for optimizing the efficiency of parking tasks… 

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