Autonomous rear parking via rapidly exploring random-tree-based reinforcement learning

HIGHLIGHTS

• who: Saugat Shahi and Heoncheol Lee from the Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Korea have published the paper: Autonomous Rear Parking via Rapidly Exploring Random-Tree-Based Reinforcement Learning, in the Journal: Sensors 2022, 6655 of /2022/
• what: The sensitivity-based path-following algorithm , an approach developed based on MPC, was aimed at improving scenario decomposition for multiple stages. The authors implemented anrearRRT to determine parking path planning. In In this this section, section, the authors we focus focus on on the the path path following following of of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.