为了得到准确、稠密的视差图，提出了一种利用自适应能量聚集和动态规划的立体匹配算法。
In order to get precise and dense disparity maps, a stereo matching algorithm using adaptive cost aggregation and dynamic programming is proposed.
本文结合机器人路径规划问题介绍了增强式学习方法，实现了动态环境中基于增强式学习的自适应路径规划。
To solve the robots path planning problem in dynamic environment, this paper applies adaptive learning to path planning based on reinforcement learning.
本文结合机器人路径规划问题介绍了增强式学习方法，实现了动态环境中基于增强式学习的自适应路径规划。
To solve the robots path planning problem in dynamic environment, this paper applies adaptive learning to path planning based on reinforcement learning.
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