Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach.
- DOI
- 10.3390/s24186086
- Published
- 2024 Sep 20
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s24186086,
title = {Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach.},
author = {Guzmán Leguel AK and Nguyen HH and Gómez Gutiérrez D and Yoo J and Jeong HY},
year = {2024},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s24186086},
url = {https://doi.org/10.3390/s24186086}
}RIS
TY - JOUR TI - Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach. AU - Guzmán Leguel AK AU - Nguyen HH AU - Gómez Gutiérrez D AU - Yoo J AU - Jeong HY PY - 2024 JO - Sensors (Basel, Switzerland) DO - 10.3390/s24186086 UR - https://doi.org/10.3390/s24186086 ER -
APA
AK, G. L., HH, N., D, G. G., J, Y., & HY, J. (2024). Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24186086
Source records
- pubmed · retrieved 2026-11-10T07:52:54.609Z