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YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems
This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals. In conventional methods, the detection and classification in automotive radar systems are conducted in two s...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284695/ https://www.ncbi.nlm.nih.gov/pubmed/32443808 http://dx.doi.org/10.3390/s20102897 |