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AIJ 2010

Reasoning about cardinal directions between extended objects

Journal Article journal-article Artificial Intelligence

Abstract

Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a relation model, known as the cardinal direction calculus (CDC), for representing direction relations between connected plane regions. The CDC is perhaps the most expressive qualitative calculus for directional information, and has attracted increasing interest from areas such as artificial intelligence, geographical information science, and image retrieval. Given a network of CDC constraints, the consistency problem is deciding if the network is realizable by connected regions in the real plane. This paper provides a cubic algorithm for checking the consistency of complete networks of basic CDC constraints, and proves that reasoning with the CDC is in general an NP-complete problem. For a consistent complete network of basic CDC constraints, our algorithm returns a ‘canonical’ solution in cubic time. This cubic algorithm is also adapted to check the consistency of complete networks of basic cardinal constraints between possibly disconnected regions.

Authors

Keywords

  • Qualitative spatial reasoning
  • Cardinal direction calculus
  • Connected regions
  • Consistency checking
  • Maximal canonical solution

Context

Venue
Artificial Intelligence
Archive span
1970-2026
Indexed papers
3976
Paper id
1069783072410177549
v2026.09.13