Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications

Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR produces highly accurate 3D point clouds, which are vital for the detection, classification, and tracking of multiple targets....

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Detalles Bibliográficos
Autores principales: Adnan, Muhammad, Slavic, Giulia, Martin Gomez, David, Marcenaro, Lucio, Regazzoni, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346986/
https://www.ncbi.nlm.nih.gov/pubmed/37447967
http://dx.doi.org/10.3390/s23136119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346986/
https://www.ncbi.nlm.nih.gov/pubmed/37447967
http://dx.doi.org/10.3390/s23136119

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