Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization
- DOI
- 10.3390/s26041105
- Published
- 02
- Container
- Sensors
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26041105,
title = {Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization},
author = {Túlio Oliveira Araújo and Marcio Lobo Netto and João Francisco Justo},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26041105},
url = {https://doi.org/10.3390/s26041105}
}RIS
TY - JOUR TI - Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization AU - Túlio Oliveira Araújo AU - Marcio Lobo Netto AU - João Francisco Justo PY - 2026 JO - Sensors DO - 10.3390/s26041105 UR - https://doi.org/10.3390/s26041105 ER -
APA
Araújo, T. O., Netto, M. L., & Justo, J. F. (2026). Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization. Sensors. https://doi.org/10.3390/s26041105
Source records
- doaj · retrieved 2026-09-26T08:43:05.850Z