Research on path planning strategy of driverless cars based on slam data

HIGHLIGHTS

  • What: In the field of path planning, the research focus is gradually shifting to combining artificial_intelligence technologies, especially the combination of deep learning and reinforcement learning with traditional algorithms. During the experiment, this study analyzes based on the following assumptions: First, it is assumed that by increasing the search neighborhood, the search efficiency of the A* algorithm in complex scenarios will be significantly improved. In this study, an in-depth discussion was conducted on the path planning of driverless cars based on SLAM data under different search neighborhoods.
  • Who: SLAM data et al. from the . . .

     

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