D star lite 算法的论文网址:http://idm-lab.org/bib/abstracts/papers/aaai02b.pdf 根本思想是从后往前计算,每当客观环境发生变化时就可以节省未变环境的计算量: Github复现代码:https://github.com/avgaydashenko/d_star clone这份代码后,运行main.py:
from d_star
import DStar
pf
= DStar
(x_start
=0, y_start
=1, x_goal
=3, y_goal
=1)
pf
.update_cell
(2, 1, -1)
pf
.replan
()
path
= pf
.get_path
()
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