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Decoupled Sampling Based Planning Method for Multiple Autonomous Vehicles

Robotics 2017-02-14 v1

Abstract

This paper proposes a sampling based planning algorithm to control autonomous vehicles. We propose an improved Rapidly-exploring Random Tree which includes the definition of K- nearest points and propose a two-stage sampling strategy to adjust RRT in other to perform maneuver while avoiding collision. The simulation results show the success of the algorithm.

Keywords

Cite

@article{arxiv.1702.03429,
  title  = {Decoupled Sampling Based Planning Method for Multiple Autonomous Vehicles},
  author = {Fatemeh Mohseni and Mahdi Morsali},
  journal= {arXiv preprint arXiv:1702.03429},
  year   = {2017}
}