Demonstrates enhanced DBSCAN clustering for automotive radar, suggesting better performance for embedded systems.
Density Based Spatial Clustering of Applications with Noise (DBSCAN) is the widely used clustering algorithm for automotive radar applications. Many modifications have been proposed across literature. This paper discusses the most effective method of DBSCAN implementation for High-resolution radar applications. Modification of the DBSCAN algorithm for computation and memory optimization especially for an embedded application is discussed in detail in this paper.
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Raj et al. (2020) studied this question.
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