Open AccessSituation Comprehension for UGV Based on Domain Knowledge
Author(s) -
Chao Wang,
Wanpeng Zhang,
Jingzhao Yang,
Shaofei Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1575/1/012036
Subject(s) - ontology , computer science , comprehension , domain (mathematical analysis) , artificial intelligence , plan (archaeology) , orientation (vector space) , human–computer interaction , software engineering , knowledge management , programming language , mathematical analysis , mathematics , philosophy , geometry , archaeology , epistemology , history
Battlefield situation comprehension (SC) plays an important role in the operation observation-orientation-decision-action (OODA) circle of UGV as the results of SC are the input of the UGV mission planning. A situation comprehension method for UGV based on domain knowledge is proposed to overcome the problems of heterogeneous situation data, various relations and plan to be comprehended. Firstly, an ontology based situation comprehension architecture is given. Then, core ontology for situation comprehension is established, based on which a detailed ontology include the opposing sides classes and environment classes is constructed and steps for building situation inferring rules are listed. Finally, in a frontline defence scenario, different situation types are defined with SWRL and three scenario snapshots are depicted to demonstrate the method proposed in this paper.