Collaborative Qualitative Environment Mapping

被引：0

作者：

Secolo, Adeline ^{[1
]}

Santos, Paulo E. ^{[2
]}

Doherty, Patrick ^{[3
,4
]}

Sjanic, Zoran ^{[3
,5
]}

机构：

[1] Ctr Univ FEI, Sao Paulo, Brazil

[2] Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA, Australia

[3] Linkoping Univ, Linkoping, Sweden

[4] Mahasarakham Univ, Maha Sarakham, Thailand

[5] Saab AB, Linkoping, Sweden

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, AI 2023, PT II | 2024年 / 14472卷

关键词：

Knowledge representation; multi-robot systems; mapping;

D O I：

10.1007/978-981-99-8391-9_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper explores the use of LH Interval Calculus, a novel qualitative spatial reasoning formalism, to create a human-readable representation of environments observed by UAVs. The system simplifies data from multiple UAVs collaborating on environment mapping. Real UAV-captured data was used for evaluation. In tests involving two UAVs mapping an outdoor area, LH Calculus proved effective in generating a cohesive high-level description of the environment, contingent on consistent input data.

引用

页码：3 / 15

页数：13

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