Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models

On-chip LiDAR sensors for vehicle collision avoidance are a rapidly expanding area of research and development. The assessment of reliable obstacle detection using data collected by LiDAR sensors has become a key issue that the scientific community is actively exploring. The design of a self-tuning...

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Detalles Bibliográficos
Autores principales: Castaño, Fernando, Beruvides, Gerardo, Villalonga, Alberto, Haber, Rodolfo E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982610/
https://www.ncbi.nlm.nih.gov/pubmed/29748521
http://dx.doi.org/10.3390/s18051508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982610/
https://www.ncbi.nlm.nih.gov/pubmed/29748521
http://dx.doi.org/10.3390/s18051508

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