Collaborative Qualitative Environment Mapping

Adeline Secolo, Paulo E. Santos, Patrick Doherty, Zoran Sjanic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAI 2023
Subtitle of host publicationAdvances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Proceedings
EditorsTongliang Liu, Geoff Webb, Lin Yue, Dadong Wang
Place of PublicationSingapore
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-15
Number of pages13
ISBN (Electronic)978-981-99-8391-9
ISBN (Print)978-981-99-8390-2
DOIs
Publication statusPublished - 2024
Event36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023 - Brisbane, Australia
Duration: 28 Nov 20231 Dec 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14472 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023
Country/TerritoryAustralia
CityBrisbane
Period28/11/231/12/23

Keywords

  • Knowledge representation
  • mapping
  • multi-robot systems

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