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Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data †

High-resolution automotive radar sensors play an increasing role in detection, classification and tracking of moving objects in traffic scenes. Clustering is frequently used to group detection points in this context. However, this is a particularly challenging task due to variations in number and de...

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Detalles Bibliográficos
Autores principales: Malzer, Claudia, Baum, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153611/
https://www.ncbi.nlm.nih.gov/pubmed/34068403
http://dx.doi.org/10.3390/s21103410