Radar-vision multimodal fusion for dynamic target trajectory prediction and threat assessment in power transmission corridors.
- DOI
- 10.1038/s41598-026-48978-2
- Published
- 2026 May 7
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-48978-2,
title = {Radar-vision multimodal fusion for dynamic target trajectory prediction and threat assessment in power transmission corridors.},
author = {Zhang J and Zhang Z and Tan X and Ling J and Deng QJ},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-48978-2},
url = {https://doi.org/10.1038/s41598-026-48978-2}
}RIS
TY - JOUR TI - Radar-vision multimodal fusion for dynamic target trajectory prediction and threat assessment in power transmission corridors. AU - Zhang J AU - Zhang Z AU - Tan X AU - Ling J AU - Deng QJ PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-48978-2 UR - https://doi.org/10.1038/s41598-026-48978-2 ER -
APA
J, Z., Z, Z., X, T., J, L., & QJ, D. (2026). Radar-vision multimodal fusion for dynamic target trajectory prediction and threat assessment in power transmission corridors.. Scientific reports. https://doi.org/10.1038/s41598-026-48978-2
Source records
- pubmed · retrieved 2026-09-26T21:03:15.501Z