Mission Planner for UAV Battery Replacement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973038" target="_blank" >RIV/49777513:23520/24:43973038 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MFI62651.2024.10705769" target="_blank" >https://doi.org/10.1109/MFI62651.2024.10705769</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MFI62651.2024.10705769" target="_blank" >10.1109/MFI62651.2024.10705769</a>
Alternative languages
Result language
angličtina
Original language name
Mission Planner for UAV Battery Replacement
Original language description
The paper presents a mission planner for an autonomous unmanned aerial vehicle (UAV) battery management system. The objective of the system is to plan replacements of the UAV's battery on the static battery management stations. The plan ensures that UAVs have sufficient energy to fulfill their long-term mission, which would otherwise be impossible. The paper provides a detailed description of the mission planner and all its components. The functionality of the planner is successfully demonstrated in two distinct simulated scenarios with a fleet of UAVs and several battery stations. One scenario places particular emphasis on its resemblance to an area coverage mission in an existing city park. The mission is designed in ground control software and acquired from a UAV simulated with PX4 Software in the Loop (PX4 SITL). In both scenarios, an optimal plan is identified that enables the successful completion of missions that would otherwise be unfeasible without battery replacements.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/TN02000054" target="_blank" >TN02000054: Božek Vehicle Engineering National Center of Competence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
ISBN
979-8-3503-6803-1
ISSN
2835-947X
e-ISSN
2767-9357
Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Plzeň
Event location
Plzeň, Česká republika
Event date
Sep 4, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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