一种定性空间启发式推理方法及其在复杂区域中的应用

Haiyan Gong, Shengling Geng, Ping Xie
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摘要

定性空间推理是人工智能、地理信息系统、机器人等领域的研究热点。本文提出了一种复杂区域中多组分空间关系的分层定性空间推理方法。首先,基于邻接链接图定义邻接层次矩阵,该矩阵可以互斥,充分表示n个分量之间的连接关系;其次,提出了基于二元层次关系的启发式推理方法及其算法。最后对机器人与障碍物之间的关系进行了仿真,为机器人避障方案的制定提供了依据,并从理论和实践上证明了该方法的有效性。
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A method of qualitative spatial heuristic reasoning and application for complex region
Qualitative spatial reasoning is a key spotlight in the domains of artificial intelligence, geographic information system, and robotics and so on. In this paper, we proposed a hierarchical qualitative spatial reasoning method for the spatial relations among multiple components in complex region. Firstly, an adjacency hierarchy matrix is defined based on adjacency link graph, which can be mutually exclusive and fully represent the connection relation among n components. Secondly, the heuristic reasoning on the binary hierarchical relations and the algorithm are proposed. Finally we simulate the relations of the robot and obstacles, and provide a basis for making the robot obstacle avoidance scheme, then the validity of this method is proved from theory and practice.
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