吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (4): 1238-1243.doi: 10.13229/j.cnki.jdxbgxb201704032

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Spatio-temporal reasoning for OPRA direction relation network

WANG Sheng-sheng1, WANG Chuang-feng2, GU Fang-ming1   

  1. 1.College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2.College of Software, Jilin University, Changchun 130012, China
  • Received:2016-06-05 Online:2017-07-20 Published:2017-07-20

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Abstract: Oriented Point Algebra (OPRA) is one of hot topics in qualitative spatial reasoning. Previous researches were mainly focused on spatial reasoning with at most three static objects. However, many scenarios involve more objects and the scenarios may be dynamic. To deal with these problems, the spatio-temporal reasoning of OPRA direction relation network is defined, which is a dynamic reasoning framework for large number of objects. The constraint propagation theory is used to handle the problem of large number, and the conceptual neighborhoods theory is used to handle the dynamic reasoning. An algorithm is proposed to fuse the two issues, which is a solution for the OPRA reasoning problem of n dynamic objects. The method can used in robot navigation, unmanned aerial vehicle navigation, ship navigation and battlefield analysis and so on.

Key words: artificial intelligence, spatio-temporal reasoning, oriented point relation algebra(OPRA), constraint propagation, conceptual neighborhoods

CLC Number: 

  • TP18
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