Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM

This article aims at demonstrating the feasibility of modern deep learning techniques for the real-time detection of non-stationary objects in point clouds obtained from 3-D light detecting and ranging (LiDAR) sensors. The motion segmentation task is considered in the application context of automoti...

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Detalles Bibliográficos
Autores principales: Nowak, Tomasz, Ćwian, Krzysztof, Skrzypczyński, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538971/
https://www.ncbi.nlm.nih.gov/pubmed/34695994
http://dx.doi.org/10.3390/s21206781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538971/
https://www.ncbi.nlm.nih.gov/pubmed/34695994
http://dx.doi.org/10.3390/s21206781

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