Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System

Collision avoidance is an important feature in advanced driver-assistance systems, aimed at providing correct, timely and reliable warnings before an imminent collision (with objects, vehicles, pedestrians, etc.). The obstacle recognition library is designed and implemented to address the design and...

Descripción completa

Detalles Bibliográficos
Autores principales: Castaño, Fernando, Beruvides, Gerardo, Haber, Rodolfo E., Artuñedo, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620580/
https://www.ncbi.nlm.nih.gov/pubmed/28906450
http://dx.doi.org/10.3390/s17092109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5620580/
https://www.ncbi.nlm.nih.gov/pubmed/28906450
http://dx.doi.org/10.3390/s17092109

Ejemplares similares