https://github.com/eliasjof/slm-cooperative-motion-planning
A Systematic Literature Mapping of Cooperative and Collaborative Multi-UAV Motion Planning Approaches for UAVs
Science Score: 13.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (3.3%) to scientific vocabulary
Repository
A Systematic Literature Mapping of Cooperative and Collaborative Multi-UAV Motion Planning Approaches for UAVs
Basic Info
- Host: GitHub
- Owner: eliasjof
- Language: TeX
- Default Branch: main
- Size: 3.97 MB
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Metadata Files
README.md
A Systematic Literature Mapping of Cooperative and Collaborative Multi-UAV Motion Planning Approaches for UAVs
Abstract
This study presents a Systematic Literature Mapping (SLM) on cooperative and collaborative motion planning for multi-unmanned aerial vehicles (UAVs). In this study, titles, abstracts, and keywords of 309 articles published between the years 2014 and 2024 were analyzed using natural language processing. It has identified six dominant research topics, analyzed the temporal trends showing a growing interest in the field, and highlighted some co-relation between the topics and future research opportunities, such as addressing coverage problems in dynamic and non-free environments. Thus, this SLM provides an overview of the field.
Topics
Selected papers
cite us
FREITAS, Elias JR et al. A Systematic Literature Mapping of Cooperative and Collaborative Multi-UAV Motion Planning Approaches for UAVs.
Owner
- Login: eliasjof
- Kind: user
- Repositories: 1
- Profile: https://github.com/eliasjof
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